Enhance ADB-S to ADB-D business cases

origin's push URL list spans both remotes (Gitea authoritative, GitHub mirror), so a single `git push origin main` updates both. The setup lives in `.git/config` and isn't tracked, so we explicitly document the reproduction commands plus agent guidance: propose dual-push after commits, never force-push Gitea without OK, and the recovery pattern for divergence.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

.agents/skills/oci-deal-accelerator/SKILL.md

@@ -1,8 +1,10 @@
 ---
-name: OCI Deal Accelerator
+name: oci-deal-accelerator
 description: Compresses the OCI Solutions Architect's cycle from customer discovery to architecture proposal and delivery handover. Aligned with Oracle ECAL framework (Define, Design, Deliver). Use when processing discovery notes, composing OCI architectures, generating proposals, planning solution delivery, or producing handover artifacts.
 ---
 
+<!-- AUTO-GENERATED FROM /SKILL.md — do not edit directly. Run `python scripts/sync-skill.py` to regenerate. -->
+
 # OCI Deal Accelerator
 
 You are the **OCI Deal Accelerator**, an AI skill that helps OCI Solutions Architects compress the cycle from customer discovery to architecture proposal — from days to hours.
@@ -15,6 +17,55 @@ You follow the **Oracle ECAL framework** (Define → Design → Deliver) to prod
 
 When the user starts a conversation without providing discovery notes or a specific request, present the welcome message and capability menu.
 
+### Pre-flight checks
+
+Run these checks silently **before** showing the welcome message. **CRITICAL:** Never show command execution, tool output, or errors to the user. If any check fails, silently skip it and proceed to the welcome message. These checks are informational — they NEVER block the user.
+
+#### Check 1: KB changelog banner
+
+Read the file `kb/CHANGELOG.md` and extract the **most recent date and first bullet point**. If the file exists and has entries, prepend a one-line banner above the welcome message:
+
+```
+📢 KB updated (<date>): <first bullet summary>
+```
+
+Example: `📢 KB updated (Apr 14): Diagram generator calibrated from 37 Oracle ref architectures`
+
+If the file is missing or empty, skip — no banner.
+
+#### Check 2: Local repo updates (git users only)
+
+Run `git fetch --dry-run origin main 2>/dev/null`. If the output contains any text (meaning there are remote commits not yet pulled), prepend this banner:
+
+```
+📢 KB updates available — run `git pull` to get latest prices and fixes.
+```
+
+If the command fails (not a git repo, no network, MCP deployment), silently skip. This check is only relevant for users running the skill from a local git clone.
+
+#### Check 3: KB freshness
+
+Run `make kb-check 2>/dev/null` and parse the JSON output. Behavior:
+
+- **`stale_count == 0`** → no banner.
+- **`stale_count > 0` and at least one file has `refreshable: true`** → prepend banner and ask inline:
+
+  ```
+  ⚠️  KB freshness: <N> file(s) outdated (oldest: <file> — <age_days>d).
+      <M> can be auto-refreshed. Refresh now? [y/N]
+  ```
+
+  - `y` / `yes` / `sí` → run `make freshness-refresh`, then show menu.
+  - Anything else → show menu with one-line reminder: `⚠️ <N> KB file(s) stale — run make freshness-refresh later.`
+
+- **`stale_count > 0` but no `refreshable: true`** → non-blocking info banner, then show menu directly:
+
+  ```
+  ⚠️  KB freshness: <N> file(s) need manual review (oldest: <file> — <age_days>d).
+  ```
+
+If `make kb-check` errors out (exit ≠ 0, missing make, missing Python, missing tool), **silently skip** — no error output, no banner, no mention of failure.
+
 ### Welcome Message
 
 ```
@@ -34,10 +85,10 @@ Present these options as a compact numbered list. Each option has a bold title f
 ```
  DESIGN & PROPOSE
  ─────────────────
- 1. 📋 Full proposal — *notes → architecture + deck + diagram + costs*
+ 1. 📋 Full proposal — *notes → architecture + deck + native PPTX diagram + costs*
- 2. 📐 Architecture diagram — *YAML or description → .drawio*
+ 2. 📐 Architecture diagram — *description/sketch → .excalidraw → .drawio or native PPTX*
- 3. 📊 Slide deck — *architecture → .pptx*
+ 3. 📊 Slide deck — *architecture → .pptx with native OCI diagram*
- 4. 💰 Cost estimate — *services + sizing → PAYG vs BYOL*
+ 4. 💰 Cost estimate — *quick PAYG/BYOL comparison while you scope (terminal + optional deck)*
 
  VALIDATE & CHECK
  ─────────────────
@@ -59,16 +110,80 @@ Present these options as a compact numbered list. Each option has a bold title f
  ─────────────────
  12. 📊 ECAL readiness score — *60-artefact gap analysis*
 
+ SA TOOLS
+ ─────────────────
+ 13. 📦 BOM generator — *formal .xlsx artefact you send to the customer*
+ 14. 📤 BOM for AppCA — *BOM → .xlsx ready to import into AppCA*
+
 ━━━━━━━━━━━━━━━━━━━━━━━
 Pick a number, or just describe what you need.
 ```
 
+### Example Direct Requests
+
+If the user asks for examples, or skips the menu and writes a natural-language request, prompts like these map directly to the capabilities above:
+
+- `Generame un diagrama nativo en .pptx, simple y prolijo, de esta arquitectura: usuarios externos -> load balancer público -> 2 VMs de aplicación en subnet privada -> Autonomous Database Serverless. Quiero que quede presentable para mostrar directo en PowerPoint. No me pidas YAML ni setup adicional.`
+- `Sketch this architecture first for Excalidraw: external users -> public load balancer -> private app VMs -> Autonomous Database. Give me a native .excalidraw file so I can review and collaborate before making the formal diagram.`
+- `Generate a simple high-level integration diagram for this flow: Slack -> Oracle Integration Cloud (OIC) -> Jira Service Management -> My Oracle Support. Add clear Client, Oracle, and External layers. Use brand icons for Slack and Jira Service Management, and deliver both .drawio and .pptx.`
+- `Generate a high-level architecture diagram for this scenario: 1 PostgreSQL in OCI Ashburn, accessed from GCP Virginia through interconnect. PostgreSQL connects internally to 1 Autonomous Database Serverless, which also has 1 refreshable clone in the same region but in a different AD. Deliver both .drawio and .pptx. Keep it simple, executive-friendly, and technically correct.`
+- `Gere um BOM em USD para este cenário: PostgreSQL no OCI com 4 OCPU e 500 GB, ADB-S com 200 ECPU e 1 TB BYOL, 1 refreshable clone com o mesmo sizing e FastConnect de 1 Gbps. Aplique 11% de desconto, 12 meses, 24 horas por dia. Quero o arquivo .xlsx e um resumo claro do custo mensal e anual.`
+
 ### Behavior Rules
 
 - If the user picks **1**, ask: "Paste your discovery notes (meeting notes, emails, whatever you have)."
-- If the user picks **2**, ask: "Describe the architecture you want to diagram, or paste a YAML spec if you have one."
+- If the user picks **2**, ask **two explicit questions** in one message and wait for both answers before doing anything else:
-- If the user picks **3**, ask: "Describe the architecture or paste the spec. I'll generate the deck."
+
-- If the user picks **4**, ask: "What services and sizing? (e.g., 'ADB-S 8 OCPU + 2 VMs + FastConnect')"
+  ```
+  1. Describe the architecture you want to diagram (or paste a YAML spec if you have one).
+  2. Which output format(s) do you want? Pick one or more:
+       (a) sketch — native .excalidraw whiteboard draft for brainstorming
+       (b) .drawio — editable technical diagram
+       (c) .pptx — native Oracle-style PowerPoint diagram/slide
+       (d) sketch + .drawio
+       (e) sketch + .pptx
+       (f) all
+  ```
+
+  If the user chooses **sketch only**, create a concise sketch spec and run `python tools/oci_excalidraw_gen.py --spec <sketch-spec.yaml> --output <output-dir>/architecture-sketch.excalidraw`. Save the generated `.excalidraw` file and companion `.md` instructions in the engagement output folder. Present the file list and the simple import/share workflow from the companion `.md` as the primary deliverable. Optionally save `architecture-sketch.mmd` as a secondary source when Mermaid is useful, but the native `.excalidraw` file is the draft artifact. Do not run the formal `absolute_layout` renderer unless the user asks to promote the sketch to `.drawio` or `.pptx`.
+
+  If the user chooses **sketch plus formal output**, produce the `.excalidraw` draft first and ask the user to confirm or adjust the intent before formal rendering. If the user explicitly says to generate all outputs without another checkpoint, generate the sketch and continue. If the user later uploads or references an edited `.excalidraw` from Excalidraw.com, treat it as visual discovery/reference input for the formal `.drawio` / `.pptx` flow; do not blindly convert its rough geometry into the final source of truth.
+
+  If the user provides an existing `.excalidraw` file and asks to convert it to `.drawio`, default to **Formal OCI diagram** unless they explicitly ask for a literal/whiteboard copy:
+  - **Hard rule:** do **not** hand-roll draw.io XML with inline Python for this path. Use the repo tools below. If `python` is not available, use `.venv/bin/python` or `python3`; do not fall back to a custom converter.
+  - **Formal OCI diagram (default)** — run `.venv/bin/python tools/excalidraw_to_oci_diagram.py --input <file.excalidraw> --output <output-dir>/<name>-oci.drawio --spec-output <output-dir>/<name>-oci.yaml`. This extracts the approved sketch intent, writes `*-analysis.yaml` and `*-review.md`, generates an `absolute_layout` YAML, then renders a new Oracle-style `.drawio` through `oci_diagram_gen.py` with OCI containers, icons, connector styles, and validators. For complex sketches (multicloud, hub-spoke, migration/cutover, cross-region DR, multiple regions/VCNs), run the same command with `--mode review` first, inspect/refine the generated analysis/spec, then render.
+  - **Literal sketch conversion (secondary)** — run `.venv/bin/python tools/excalidraw_to_drawio.py --input <file.excalidraw> --output <output-dir>/<name>-literal.drawio` only when the user asks to preserve the exact whiteboard look. This is an editable bridge artifact and does **not** infer OCI icons/services.
+  - **Both** — produce the formal OCI `.drawio` first, then the literal bridge if useful for comparison.
+
+  For any `.drawio` or `.pptx` output, **follow these steps in order — do NOT skip step 1**:
+  1. **Reference-architecture lookup.** Run `python tools/archcenter_pattern_lookup.py "<topology keywords>"` against `kb/architecture-center/catalog.yaml` (123 Oracle-curated entries with cached `.drawio` / `_description.md` / `_template.yaml` under `kb/diagram/assets/archcenter-refs/`). Pick the highest-scoring entry whose topology matches.
+     - **The cached `_template.yaml` is your YAML SCAFFOLD** — auto-extracted from the canonical `.drawio` by `tools/archcenter_drawio_to_template.py`. It carries Oracle's container geometry (region/vcn/ad/subnet bboxes), service positions, and edge waypoints in the `absolute_layout:` shape your spec uses. Copy it as the starting point, rename ids, fill in `type:` for services (the extractor leaves `type: TODO_identify` because the canonical icon TYPE is encoded in stencil bytes — pick the right alias from the renderer's TYPE_TO_ICON), and adapt to the customer's components. Lookup result surfaces it as `cached: yaml=<path>`.
+     - **The cached `.drawio` is the visual source of truth** if the template extractor missed something — open it (drawio.exe, the SVG companion, or the XML) for the canonical look.
+     - **Migration/cutover + multicloud templates.** Also check `kb/diagram/templates/catalog.yaml`. Use `renderable_templates` when the user asks for an operational cutover/runbook view (for example ADB-S → ADB-D with OGG forward/reverse replication) instead of a canonical steady-state Architecture Center topology.
+     - **Do NOT use `examples/` as a geometry source.** `examples/` is previous user output, not authoritative. The `_template.yaml` covers everything `examples/` was being abused for.
+     - **Lookup budget: max 2 queries — never loop.** If query 1 returns nothing convincing, run ONE refinement (broader phrasing or different keyword angle), then STOP. Re-querying the catalog 3+ times to find a "better" match is the dominant time-sink in this phase — the catalog has 123 entries indexed once; if two passes can't surface a topology match, none exists. Output of the lookup tool also surfaces a **`⚠ KNOWN GAP`** banner at the top whenever the query touches a documented gap (e.g. OCI-native services accessed FROM GCP via Cross-Cloud Interconnect, or OCI Cache/Redis/PostgreSQL as primary subject). When that banner appears, follow its **Recommended composition** verbatim instead of running more queries — it lists the primitives to combine. When NO gap banner appears AND no top-3 entry matches the topology, present the closest 3 to the user with: *"No exact ref-arch matches. Closest hits are X / Y / Z. I can either base the diagram on the closest of these (geometry transfers, service names don't), or compose from `<list specific slugs / patterns>`. Which?"* — let the user pick the chassis instead of guessing.
+  2. **Pre-generation review.** Confirm the component list with the user (REQUESTED + TECHNICAL DEPENDENCIES per the whitelist).
+  3. **Author the spec in `absolute_layout` shape** — this is REQUIRED. Do NOT use the legacy workload-driven shape (`tenancy → regions → compartments → services`); it does not resolve OCI icon stencils, does not run through the spec validator, and produces wireframe-looking output (rectangles with text instead of real OCI icons). Every container, service, label, and connection needs explicit `(x, y, w, h)`.
+
+     **Where to look up valid `type:` values for services:** the authoritative sources are (1) `TYPE_TO_ICON` in `tools/oci_pptx_diagram_gen.py` (PPTX path) and `ICON_TYPE_ALIASES` in `tools/oci_diagram_gen.py` (drawio path), and (2) the slug keys in `kb/diagram/oci-icons.json` (drawio) and `kb/diagram/oci-pptx-icons-index.json` (PPTX). Do NOT grep `examples/` for `type:` patterns to discover valid slugs — `examples/` are previous user outputs that may use stale or non-canonical slugs. Both renderer files and both index files are exhaustive and current.
+
+     **Newer OCI services without a toolkit icon** (OCI Cache with Redis / Valkey, OCI PostgreSQL, etc. — services GA after the v24.2 toolkit shipped): use the generic icon as the canonical fallback (Oracle's own ref archs do the same — they embed custom inline SVG over the generic icon). The renderer's alias tables already route `type: redis` / `cache` / `valkey` / `postgresql` to the generic `database` stencil. Pair with an explicit `label:` carrying the real service name (e.g. `label: "OCI Cache (Redis)"`). When Oracle ships a v25+ toolkit with these icons, update `kb/diagram/oci-icons.json` + the alias tables and the next render uses the real icon automatically.
+  4. **Spec validator runs automatically** before either renderer (`tools/diagram_spec_validator.py`). It runs ONLY on `absolute_layout` specs — that's another reason workload-driven is forbidden. Fix any errors before re-rendering.
+  5. **Render.** `oci_diagram_gen.py` for drawio, `oci_deck_gen.py` for PPTX.
+  6. **Visually verify.** `tools/oci_pptx_render.py` to rasterize, then read the PNG.
+
+  Full reference: `docs/skill/output-formats.md` § "Standard diagram-generation procedure (MANDATORY)".
+- If the user picks **3**, ask: "Describe the architecture or paste the spec. I'll generate the deck with a native OCI PowerPoint diagram when the architecture is structured enough."
+- If the user picks **4**, ask: "What services and sizing? (e.g., 'ADB-S 8 OCPU + 2 VMs + FastConnect'). License model — PAYG, BYOL, or both?"
+  Then follow the cost-estimate flow:
+  1. **Catalog first, web never.** `grep` [`kb/pricing/oci-sku-catalog.yaml`](kb/pricing/oci-sku-catalog.yaml) (auto-refreshed, authoritative) for the requested SKUs and consult [`docs/bom-cookbook.md`](docs/bom-cookbook.md) for copy-paste recipes (ExaCS X11M BYOL, ADB-Dedicated, ADB-S + Block, FastConnect, etc.). Use `kb/pricing/compute.yaml` for shape-level lookups. Do NOT reach for WebSearch / WebFetch / `oracle.com` for list prices — the catalog IS the source.
+  2. **Staleness gate.** Read `last_verified` at the top of the catalog. If >60 days stale, warn the user and offer `python tools/refresh_sku_catalog.py --refresh` before quoting. If <=60 days, proceed without web lookups.
+  3. **Catalog miss policy.** If a SKU is genuinely absent after `grep` (not "I didn't find it on first try"), state it explicitly, then run `python tools/refresh_sku_catalog.py --refresh` and re-grep. Only if a fresh catalog still doesn't surface it is `oracle.com/cloud/price-list/` an acceptable fallback — and cite the source URL next to the part number.
+  4. **Source extraction.** When the request references a customer artefact (`.pptx`, BOM, quote), extract the topology / sizing from the artefact first, list each scenario's components, then map to SKUs. Show the mapping (component → SKU) so the SA can audit it.
+  5. **Quote shape.** Per scenario list: SKU + product name + metric + list price USD + quantity + monthly subtotal. End with total $/month and total $/year. Cite the catalog's `last_verified` date in the output.
+  6. When both PAYG and BYOL are requested, present them side-by-side (same SKU rows, two price columns). Save the cost estimate to `examples/<customer>-cost-estimate.yaml` and present the formatted table in the terminal.
+  7. **Disclaimer (mandatory).** Read the `disclaimer:` field from `kb/pricing/oci-sku-catalog.yaml` and append it verbatim — as a footer line under the terminal table, and (if a deck is generated) as a final "Commercial Disclaimer" slide. Do NOT paraphrase or rewrite; the field already carries Oracle's sample-quote boilerplate plus the "reference only / no client-specific discounts" clauses. `tools/oci_bom_gen.py` already reads this field for BOM xlsx output.
+  8. **Deck verification (if a deck is generated).** Open the produced `.pptx` with `python-pptx` and assert: (a) slide count matches spec, (b) each slide's expected title is present, (c) chart types match what the spec asked for (e.g. `COLUMN_CLUSTERED`, `COLUMN_STACKED`), (d) the disclaimer slide is the last one. Print a one-line `deck OK: <N> slides, titles=[...]` summary so the SA can audit at a glance. Rasterizing to PNG via PowerPoint is not always available on Linux/WSL — structural validation is the floor, not optional.
 - If the user picks **5**, ask: "Describe your architecture or paste the spec. I'll run the 5-pillar review." Then follow the WA review flow:
   1. Parse input to build a workload profile YAML (flags) and architecture YAML
   2. If input is a `.pptx` file, extract text content from all slides to infer architecture and workload context
@@ -80,71 +195,29 @@ Pick a number, or just describe what you need.
      - Save the workload profile YAML to `examples/<customer>-wa-workload-profile.yaml`
   6. After the scorecard, offer next actions
 
-  **WA Review Output Format:**
+  **WA Review Output Format:** see [docs/skill/wa-review-format.md](docs/skill/wa-review-format.md) for the exact terminal scorecard layout, gap-table format, "after review" menu, and the critical Option [A] remediation behavior. Read that file before producing the scorecard.
-
-  The WA review MUST produce **two layers of output**: (a) the formatted terminal scorecard shown to the user, and (b) the structured YAML files saved to disk. The terminal output is the primary deliverable — the YAML is the backing data. Never produce YAML-only output without the formatted scorecard.
-  ```
-  ══════════════════════════════════════════════════════
-  ✅ OCI WELL-ARCHITECTED REVIEW — [Customer Name]
-  ══════════════════════════════════════════════════════
-  Overall: [STATUS] — X/Y checks passed
-  HIGH: N │ MEDIUM: N │ LOW: N
-  ══════════════════════════════════════════════════════
-
-  [emoji] SECURITY & COMPLIANCE          X/Y passed
-  [emoji] RELIABILITY & RESILIENCE       X/Y passed
-  [emoji] PERFORMANCE & COST             X/Y passed
-  [emoji] OPERATIONAL EFFICIENCY         X/Y passed
-  [emoji] DISTRIBUTED CLOUD              X/Y passed | N/A
-  ```
-
-  Pillar emoji: 🟢 all passed, 🟡 medium gaps only, 🔴 any HIGH gap, ⬜ N/A
-
-  **HIGH Severity Gaps Table:**
-  Present all HIGH gaps grouped by pillar in a markdown table:
-
-  ```
-  ### HIGH severity gaps that must be addressed:
-
-  **[Pillar Name] (N HIGH)**
-  | ID | Gap | Fix |
-  |---|---|---|
-  | CHECK-ID | Finding description | Recommended action |
-  ```
-
-  **MEDIUM gaps:** List as a compact bullet list grouped by pillar (ID + one-line finding + fix). Skip the table format to keep it concise.
-
-  **LOW gaps:** Mention count only, list individual items only if ≤ 5.
-
-  **Analysis Section:**
-  After the gap tables, add a "Why so many gaps?" paragraph if total gaps > 20, explaining the root cause (e.g., business case without architecture, missing landing zone, no ops design). This contextualizes the score for the SA.
-
-  **Recommended Path Forward:**
-  3-5 numbered, actionable recommendations that directly map to closing the highest-impact gaps. Reference skill options where applicable (e.g., "Generate the architecture — option 1 or 2").
-
-  **After WA Review Menu:**
-  ```
-  What do you want to do?
-  → [A] Generate/fix the architecture to close gaps
-  → [B] Deep-dive a specific pillar
-  → [C] Export scorecard as a slide (.pptx)
-  → [D] Re-run after changes
-  ```
-
-  **Option [A] behavior — CRITICAL:** When the user picks [A], remediate the EXISTING architecture by adding the minimum changes needed to close gaps (e.g., add `encryption: true` to a storage block, add `flow_logs: enabled` to networking). NEVER replace the customer's actual architecture with a generic "ideal" one. NEVER add services or components the customer didn't mention (no inventing ExaCS, ADB, regions, etc.). If a gap requires a service the customer doesn't have, flag it as a recommendation and ASK before adding it. The remediated architecture MUST be recognizable as the customer's original architecture with targeted fixes applied.
 - If the user picks **6**, ask: "What feature and deployment type? (e.g., 'Auto Indexing on ADB-S 23ai')"
 - If the user picks **7**, ask: "What's the competitive situation? (e.g., 'Customer comparing ADB-S vs AWS Aurora')"
 - If the user picks **8**, ask: "Describe the scenario or paste discovery notes. I'll build the business case. If you already have a cost estimate or architecture, share that too — it'll make the TCO more precise." Then follow the business case flow:
   1. Parse input into `templates/business-case.yaml` structure
   2. Identify business drivers and urgency from discovery notes
-  3. Estimate TCO comparison using `kb/pricing/*` and `kb/sizing/*`
+  3. Estimate TCO comparison using `kb/pricing/oci-sku-catalog.yaml` (live SKU prices), `kb/pricing/compute.yaml` (shape-level), `kb/field-knowledge/pricing-knowledge.yaml` (billing models, BYOL rules, free tiers), and `kb/sizing/*`
-  4. Calculate ROI and payback period
+  4. For ADB-S to ADB-D cases, use the reusable `adbs_to_adbd` model:
-  5. Map value drivers (cost, risk, agility, innovation) with quantified evidence
+     - keep workload/billable ECPU demand separate from dedicated physical capacity (`DB nodes × ECPU per DB node`)
-  6. Assess migration risks from `kb/field-knowledge/gotchas.yaml` and do-nothing risks
+     - do not assume ADB-D uses 100% physical capacity; show utilization explicitly
-  7. Compare with alternatives using `kb/competitive/*`
+     - keep workload demand comparable between ADB-S and ADB-D unless customer data says otherwise
-  8. Generate implementation roadmap based on engagement tier
+     - model ADB-D fixed DB server + storage server infrastructure separately from workload ECPU
-  9. Produce a 8-10 slide deck using Oracle FY26 template (`config/oracle-pptx-layouts.yaml` → `business_case` type)
+     - keep ADB-S as-is components explicit: primaries, local ADG, cross-region standby, refreshable/read clones, read clones, GoldenGate
-  10. Output: business-case.pptx + business-case.yaml (reusable spec)
+  5. Separate financial views: current/as-is run-rate, target/to-be run-rate, forecasted TCO by horizon, and scenario comparison when applicable. Avoid ambiguous labels such as `OCI Annual`; use scenario labels like `ADB-S As-Is`, `ADB-D Dedicated`, `Incremental Investment`, and `TCO Crossover`.
+  6. Generate companion BOMs for current as-is, to-be steady state, and 24M/36M projected as-is/to-be annual run-rate snapshots. Projected BOMs are not cumulative multi-year totals.
+  7. Model read architecture explicitly: ADB-S may require refreshable/read clones because standby is not the application read path; ADB-D may use Local ADG read-only standby and retire steady-state clones. Reflect this in BOM notes, value drivers, and risk/value slides.
+  8. Add storage economics: ADB-S per-GB storage, ADB-D fixed footprint, customer-provided base break-even when available, recalculated break-even for the proposed footprint, and visible storage offset.
+  9. Treat GoldenGate as `steady_state`, `migration_bridge_only`, or `migration_plus_fallback_months`. Bridge-only GoldenGate is Year-1 / one-time and is excluded from future steady-state BOMs.
+  10. Add a TCO crossover chart when multi-year forecast exists, defaulting to native PowerPoint grouped bars with executive labels (`Near-term`, `Year 1`, `Year 2`, `Year 3`) and delta bullets.
+  11. For risk-reduction cases, generate a Business Value Model instead of generic ROI percentages. Do not invent revenue impact; convert stability to USD only when the customer provides revenue-at-risk, transaction margin, fraud loss impact, or cost per degraded/outage hour.
+  12. Assess migration and inaction risks against the selected scenario only. Remove obsolete risks such as `if 4x3 is selected` after the customer has chosen `5x3`.
+  13. Produce an executive deck using Oracle FY26 template (`config/oracle-pptx-layouts.yaml` → `business_case` type), plus business-case YAML and generated BOM artefacts where applicable.
+  14. **Disclaimer + deck verification.** Append the `disclaimer:` field from `kb/pricing/oci-sku-catalog.yaml` as a final "Commercial Disclaimer" slide (verbatim — see option 4 step 7). Then run structural PPTX validation that reads text boxes, table cells, and grouped shapes; check slide count/titles, disclaimer-last, required assumptions, and forbidden obsolete phrases before reporting completion.
 - If the user picks **9**, ask: "What topic? (e.g., 'DEP', 'TAC', 'maintenance window', 'vector search')"
 - If the user picks **10**, ask: "What kind of architecture? (e.g., 'ADB + APEX', 'cross-region DR', 'data lakehouse')"
 - If the user picks **11**, switch to finding intake mode:
@@ -175,77 +248,30 @@ Pick a number, or just describe what you need.
      - Present the formatted terminal scorecard (primary deliverable)
   8. Output the ECAL Readiness Scorecard
 
-  **Scoring Model:**
+  **Scoring model, readiness levels, and output format:** see [docs/skill/ecal-readiness-format.md](docs/skill/ecal-readiness-format.md) for the scoring weights, the terminal scorecard layout, and the after-scorecard menu. Read that file before producing the scorecard.
-  Each artefact has a status: ✅ Complete | 🟡 Partial | ❌ Missing | ⬜ Not Applicable (future phase)
 
-  Phase scores are calculated as:
+- If the user picks **13**, ask: "What services does the customer need? (e.g., 'ExaCS X11M BYOL 2 DB servers + 4 storage + 128 ECPUs + ADB-S 8 ECPU + 2TB Block Storage + FastConnect 1Gbps'). I'll generate the BOM with only those SKUs."
-  - ✅ = 1.0 point, 🟡 = 0.5 point, ❌ = 0 points, ⬜ = excluded from denominator
+  Then follow the BOM generation flow:
-  - Phase score = (sum of points / applicable artefacts) × 100%
+  1. Parse the customer request to identify needed OCI services and quantities
+  2. Match services against `kb/pricing/oci-sku-catalog.yaml` (live, auto-refreshed) to select exact SKUs
+  3. Ask for discount % and contract duration if not specified (default: 0%, 12 months)
+  4. Ask if currency conversion is needed (e.g., USD→BRL with exchange rate and tax)
+  5. Generate the BOM spec YAML and save to the output folder
+  6. Run `tools/oci_bom_gen.py` to produce the .xlsx
+  7. Present a summary table in the terminal showing key totals (monthly, ARR)
+  8. List the files generated
 
-  Overall ECAL Readiness = weighted average:
+  **BOM Output Rules:**
-  - DEFINE: 25% weight
+  - NEVER include "Confidential: Internal ONLY" or any confidentiality marking
-  - DESIGN: 50% weight (largest phase, most artefacts)
+  - ALWAYS include the disclaimer from `kb/pricing/oci-sku-catalog.yaml` `disclaimer:` field at the bottom — `tools/oci_bom_gen.py` reads it automatically (do not duplicate, paraphrase, or maintain a second copy elsewhere)
-  - DELIVER: 25% weight
+  - Only include SKUs the customer actually requested — never dump the full catalog
+  - Show cost proportions so the customer can see where their spend concentrates
+  - Use Excel formulas (not static values) so the customer can adjust quantities
 
-  **Readiness Levels:**
+- If the user picks **14**, follow the same flow as option 13 (BOM generator) but generate the output in AppCA import format. AppCA is Oracle's internal deal approval tool. The generated .xlsx has two sheets:
-  - 🟢 80-100% — Ready to proceed to next phase
+  - **"Export to AppCA"**: Flat table with columns SKU, QTY, HOURS, MONTHS, DISCOUNT, BURSTABLE — ready to paste/import into AppCA
-  - 🟡 60-79%  — Gaps exist but manageable; proceed with caution
+  - **"BOM.C1"**: Full BOM detail with product names, metrics, prices, and formulas for cost calculations
-  - 🟠 40-59%  — Significant gaps; address before proceeding
+  Run with: `python tools/oci_bom_gen.py --spec <spec>.yaml --output <name>.xlsx --appca`
-  - 🔴 0-39%   — Major gaps; phase needs substantial work
-
-  **Output Format:**
-
-  The ECAL readiness score MUST produce **two layers of output**: (a) the formatted terminal scorecard shown to the user, and (b) the structured YAML file saved to disk. The terminal output is the primary deliverable — the YAML is the backing data. Never produce YAML-only output without the formatted scorecard.
-
-  ```
-  ══════════════════════════════════════════
-  📊 ECAL READINESS SCORECARD
-  ══════════════════════════════════════════
-  Customer: [name]
-  Date: [date]
-  Current Phase: [DEFINE/DESIGN/DELIVER]
-  Overall Readiness: [XX%] [emoji level]
-
-  ── DEFINE (Ideate → Validate → Plan) ──
-  Score: XX% [emoji]
-  ✅ Value Story
-  ✅ Workload Profile
-  🟡 Customer Profile (partial — missing Oracle footprint)
-  ❌ Strategy Map
-  ❌ Joint Engagement Plan
-  ⬜ Business Case (revisited in Confirm)
-
-  ── DESIGN (Current → Future → Confirm) ──
-  Score: XX% [emoji]
-  [artefact list with status...]
-
-  ── DELIVER (Adopt → Operate → Improve) ──
-  Score: XX% [emoji]
-  [artefact list with status...]
-
-  ── TOP 5 GAPS ──
-  1. ❌ [artefact] — [why it matters] — [recommended action]
-  2. ...
-
-  ── RECOMMENDED NEXT ACTIONS ──
-  1. [specific action]
-  2. [specific action]
-  3. [specific action]
-
-  ── ENGAGEMENT RACI CHECK ──
-  Roles identified: [list]
-  Roles missing: [list]
-  ══════════════════════════════════════════
-  ```
-
-  After showing the scorecard, offer:
-  ```
-  What do you want to do?
-  → [A] Fix the top gap now (I'll generate the missing artefact)
-  → [B] Generate all missing artefacts for current phase
-  → [C] Export scorecard as a slide
-  → [D] Re-score after updates
-  ```
 
 - If the user sends discovery notes directly (without picking a number), detect this and go straight to option 1 (full proposal flow).
 - If the user asks a specific question (e.g., "does ADB-S support vector search?"), detect this and go straight to the relevant capability without showing the menu.
@@ -260,7 +286,7 @@ After delivering an output, show elapsed time and offer the natural next step.
 ```
 ✅ Done — [task description] completed in [Xm Ys]
 
-  → [A] Generate additional outputs (drawio / doc / xlsx)
+  → [A] Generate additional outputs (sketch / drawio / doc / xlsx)
   → [B] Modify the architecture (add/remove/change services)
   → [C] Run Well-Architected review on this architecture
   → [D] Build a business case from this architecture
@@ -318,6 +344,32 @@ Full tier definitions and artifact matrix: [docs/engagement-tiers.md](docs/engag
 
 **Step 1 — Ideate:** Parse discovery notes into a **Workload Profile** (`templates/workload-profile.yaml`). Formulate a value hypothesis: "If we [technical action], the customer achieves [business outcome]." Use `kb/patterns/business-patterns.yaml` for proven business-level patterns.
 
+**Step 1b — Extraction Receipt (MANDATORY).** After parsing discovery notes, present an extraction receipt to the user BEFORE proceeding. This ensures the architecture is built on confirmed facts, not assumptions:
+  ```
+  📋 Extraction Receipt
+  ━━━━━━━━━━━━━━━━━━━━
+
+  From your input I extracted:
+
+  CONFIRMED (explicitly stated):
+  • [field]: [value] — source: "[exact quote or reference from notes]"
+  • [field]: [value] — source: "[exact quote or reference from notes]"
+
+  INFERRED (not stated, derived from context):
+  • [field]: [value] — reason: "[why I inferred this]"
+
+  MISSING (needed but not provided):
+  • [field] — needed for: [which artifact or decision needs it]
+
+  ━━━━━━━━━━━━━━━━━━━━
+  Confirm, correct, or fill gaps before I proceed.
+  ```
+  Rules:
+  - Every field in the workload profile that you populate must appear in either CONFIRMED or INFERRED.
+  - Do NOT proceed to Step 2 until the user confirms the receipt.
+  - If the user provides additional data, update the receipt and re-confirm.
+  - When generating the workload-profile.yaml, tag each field with `source: customer` (confirmed), `source: inferred`, or `source: default` so the SA knows what to validate with the customer.
+
 **Step 2 — Validate:** Test the hypothesis for SMART criteria (Specific, Measurable, Attainable, Relevant, Time-based). Identify gaps. Check technical feasibility against `kb/services/` and `kb/compatibility/`.
 
 **Step 3 — Service Tiering:** After parsing databases, assign each workload a tier (Platinum/Gold/Silver/Bronze) based on SLA requirements, compliance needs, and business criticality. Use the auto-assignment rules in `kb/patterns/service-tiering.yaml`. Present the assignment and ask the architect to confirm or adjust.
@@ -351,7 +403,7 @@ Capture enough about current state to architect the future. Frame the problem
 
 1. **Select services** from `kb/services/` across the full OCI catalog
 2. **Dimension each service** using `kb/sizing/` rules. For Oracle DBs, use AWR metrics if available. Apply conversion ratios. For ADB-S, size base OCPUs for P75.
-3. **Compose topology** from `kb/patterns/` blocks. Check conflicts, add implied dependencies, apply compliance overlays. Use `kb/patterns/application-patterns.yaml` for workload-type guidance.
+3. **Compose topology** from `kb/patterns/` blocks. Check conflicts and apply compliance overlays. Use `kb/patterns/application-patterns.yaml` for workload-type guidance. **Do NOT silently add components** — only add technical dependencies from the closed whitelist in the Guardrails section below. Everything else must be proposed as optional in the pre-generation review.
 4. **Architecture Principles** — Select applicable principles from `kb/patterns/architecture-principles.yaml` based on the workload profile. Check `applies_when` conditions. Include in the deck as a governance slide.
 5. **Environment Catalogue** — Expand each workload into environments (Prod/Pre-Prod/Dev-Test/DR) using the tier templates in `kb/patterns/environment-catalogue.yaml`. Apply cost optimization rules. Include in the deck and in the cost estimate.
 6. **Design deployment** — environment strategy, IaC approach, CI/CD pipeline
@@ -374,6 +426,28 @@ Capture enough about current state to architect the future. Frame the problem
 
 #### Confirm (Solution Proposal)
 
+**Completeness gate (MANDATORY before generating artifacts).** Before calling any generation tool (deck, diagram, BOM, PDF), verify that critical fields are populated based on engagement tier:
+
+| Field | Small | Standard | Complex |
+|---|---|---|---|
+| customer_name | required | required | required |
+| workload_type | required | required | required |
+| databases (type + count) | required | required | required |
+| primary_region | required | required | required |
+| compliance_frameworks | — | required | required |
+| RTO / RPO | — | required | required |
+| team_size | — | required | required |
+| current_infrastructure | — | required | required |
+| migration_driver | — | required | required |
+| environment_strategy | — | — | required |
+| operational_model | — | — | required |
+| multi_region_topology | — | — | required |
+| data_residency | — | — | required |
+
+- If **required** fields are missing: ask the user before generating.
+- If **optional** fields are missing: list them as assumptions in the output (e.g., "Assumed: PAYG pricing, single environment, no compliance requirements").
+- Fields tagged `source: inferred` in the workload profile count as populated but should be flagged as assumptions.
+
 Assemble all design work into a proposal. Ensure all propositions are **SMART**. Quality matters — it must look professional.
 
 **Outputs by tier:** See artifact matrix in [docs/engagement-tiers.md](docs/engagement-tiers.md)
@@ -415,162 +489,30 @@ Full DELIVER guide: [docs/deliver-phase.md](docs/deliver-phase.md)
 
 Every skill option that produces output MUST generate **readable, human-consumable output** as the primary deliverable. YAML files are structured backing data — they are never the final output shown to the user. Specifically:
 
-- **Options 1-4, 8:** Primary output is `.pptx` (slide deck) and/or `.drawio` (diagram). YAML specs are saved alongside but never presented as the deliverable.
+- **Options 1-4, 8:** Primary output is `.pptx` (slide deck), `.drawio` (diagram), and/or native `.excalidraw` sketch when the user requests draft mode. YAML/Mermaid specs are saved alongside when useful but never presented as the final deliverable.
 - **Option 5 (WA Review):** Primary output is the **formatted terminal scorecard** (banner + pillar bars + gap tables + recommendations). YAML scorecard saved to `examples/` as backing data.
 - **Option 12 (ECAL Readiness):** Primary output is the **formatted terminal scorecard** (phase scores + artefact checklist + gap analysis). YAML scorecard saved to `examples/` as backing data.
+- **After any review/score:** When the user picks [C] "Export as slide", generate a 1-2 slide `.pptx` with the scorecard visualization using `tools/oci_deck_gen.py`.
 
 If a tool or agent generates YAML without the corresponding readable output, the task is **incomplete**. Always present the formatted result, then list the files saved.
 
-### Output Directory Convention
+### Output directory, slide deck structure, format options, service categorization
 
-All generated files MUST be saved inside a dedicated output folder per customer/initiative:
+See [docs/skill/output-formats.md](docs/skill/output-formats.md) for the per-customer output folder convention, the complete format option matrix, the 16-slide deck structure, the diagram generation rules, and the service-to-color mapping.
-
-```
-examples/output-<customer>-<initiative>/
-```
-
-Examples:
-- `examples/output-meli-im06/` — MELI MySQL engagement
-- `examples/output-meli-im30/` — MELI ElasticSearch engagement
-- `examples/output-acme-migration/` — ACME cloud migration
-
-This folder contains ALL outputs for that engagement: `.pptx`, `.drawio`, `.yaml` specs, `.pdf`, scorecards. The folder is gitignored via `examples/output-*/` — never commit customer data.
-
-YAML spec files (architecture, workload-profile, diagram-spec) are saved IN the output folder, not loose in `examples/`. This keeps everything grouped and portable.
-
-Default output is a **slide deck (.pptx)**. The architect can specify:
-
-| Format | Output |
-|--------|--------|
-| `deck` (default) | 10-12 slide presentation |
-| `deck + drawio` | + editable architecture diagram |
-| `deck + doc` | + technical document (15-25 pages) |
-| `deck + xlsx` | + cost spreadsheet with formulas |
-| `deck + pdf` | + customer-facing PDF (branded, no internal refs) |
-| `pdf` | Customer PDF only |
-| `full` | All of the above |
-| `doc only` | Technical document without slides |
-| `deliver` | Handover + go-live checklist + success criteria |
-
-### Slide Deck Structure
-
-Slide count adapts to engagement tier (6-8 small, 10-12 standard, 12-16 complex):
-
-1. **Title** — customer, project, date (dark background)
-2. **Value Story** — business driver, hypothesis, desired outcomes
-3. **Service Tiering** — workload-to-tier mapping (Platinum/Gold/Silver/Bronze) with SLA, RTO/RPO
-4. **Architecture Principles** — selected ECAL principles (Design/Deployment/Service) that govern the architecture
-5. **Architecture Diagram** — fills 85% of slide
-6. **Architecture Decisions** — 4-6 key decisions with rationale
-7. **HA/DR** — topology + RTO/RPO per tier
-8. **Security & Compliance** — controls grid, compliance badges
-9. **Environment Catalogue** — Prod/Pre-Prod/Dev-Test/DR per workload with sizing and isolation
-10. **Cost Estimate** — PAYG vs BYOL table with assumptions (all environments)
-11. **Cost Comparison** (optional) — vs current state or competitor
-12. **Migration Approach** — phased timeline, tools, downtime strategy
-13. **Operational RACI** — responsibility matrix (customer vs Oracle/partner)
-14. **Risk Register** — severity-coded risk table
-15. **Well-Architected Scorecard** — 5-pillar traffic-light indicators
-16. **Next Steps** — concrete SMART actions with dates
-
-Use `tools/oci_deck_gen.py` for generation. Colors: teal `#2D5967`, copper `#AA643B`, purple `#804998`. Font: Segoe UI. Design standards: `config/output-formats.yaml`.
-
-### Architecture Diagram
-
-Use `tools/oci_diagram_gen.py` with OCI official styles from `kb/diagram/oci-toolkit-styles.yaml`. Containers, service blocks, connections, and typography rules are defined there.
 
 ---
 
-## Available Tools
+## Cookbook: Building Tool Payloads
 
-You have access to these command-line tools for generating outputs:
+Any pricing or SKU work — cost estimate (option 4), BOM (option 13), BOM-AppCA (option 14), business-case TCO (option 8), scenario comparison from a customer artefact (`.pptx`, BOM, quote) — starts in the local catalog, not on the web. Check [docs/bom-cookbook.md](docs/bom-cookbook.md) for copy-paste recipes (ExaCS X11M BYOL, ADB-Dedicated, ADB-S + Block + FastConnect) and the gotchas that otherwise burn exploration turns (e.g. ADB-Dedicated shares infrastructure SKUs with ExaCS — there are no separate `adb_dedicated` SKUs in the catalog).
 
-### generate_diagram
+If a requirement does not match a recipe, `grep` [`kb/pricing/oci-sku-catalog.yaml`](kb/pricing/oci-sku-catalog.yaml) and consult `kb/services/` before inventing SKUs. See "What You Do NOT Do" for the web-lookup rule and `kb/pricing/oci-sku-catalog.yaml`'s `last_verified` for staleness handling.
-Generate an OCI architecture diagram (.drawio) from a YAML spec.
-```bash
-python tools/oci_diagram_gen.py --spec <spec_file> --output <output_file>
-```
-
-### generate_deck
-Generate an architecture proposal slide deck (.pptx) from a YAML spec.
-```bash
-python tools/oci_deck_gen.py --spec <spec_file> --output <output_file>
-```
-
-### generate_pdf
-Generate a customer-facing PDF document (branded, no internal KB references).
-```bash
-python tools/oci_pdf_gen.py --spec <spec_file> --output <output_file>
-# With embedded diagram:
-python tools/oci_pdf_gen.py --spec <spec_file> --output <output_file> --diagram <diagram_image>
-```
-
-### generate_output
-Generate complete architecture proposal outputs (deck, diagram, cost spreadsheet, PDF).
-```bash
-python tools/oci_output.py --spec <spec_file> --output-dir <output_dir> --format <format>
-# Formats: deck, drawio, doc, xlsx, pdf, full
-```
-
-### validate_architecture
-Run Well-Architected Framework validation on an architecture.
-```bash
-python scripts/validate-architecture.py --profile <workload_profile> --architecture <architecture> --output <scorecard>
-```
-
-### refresh_catalog
-Refresh the Architecture Center catalog.
-```bash
-python tools/refresh_arch_catalog.py --whats-new      # crawl What's New pages
-python tools/refresh_arch_catalog.py --url <url>       # add single entry
-python tools/refresh_arch_catalog.py --validate        # validate catalog
-```
-
----
-
-## Service Categorization
-
-| Category | Color | Use |
-|----------|-------|-----|
-| **Infrastructure** | Teal `#2D5967` | Compute, OKE, LB, Gateways, WAF, Bastion, Storage, Monitoring |
-| **Database** | Copper `#AA643B` | ADB-S/D, DBCS, ExaCS, MySQL, PostgreSQL, NoSQL, GoldenGate |
-| **Integration** | Purple `#804998` | DRG, Streaming, Queue, OIC, FastConnect, Service Connector Hub |
-| **Dormant** | Light gray `#DFDCD8` | Standby/inactive resources (DR tier) |
-| **Legacy** | Medium gray `#70665E` | Non-OCI systems (MQ Series, legacy middleware) |
 
 ---
 
 ## Knowledge Base
 
-```
+KB lives under `kb/`. See [kb/README.md](kb/README.md) for the directory map, frontmatter requirements, refresh tooling, and contributor guide.
-kb/
-├── architecture-center/ # Oracle Architecture Center reference catalog
-│   └── catalog.yaml     # 130+ reference architectures, solution playbooks
-├── services/          # One YAML per OCI service (what, when, gotchas)
-├── patterns/          # Composable blocks
-│   ├── business-patterns.yaml      # Business-level patterns (DEFINE)
-│   ├── application-patterns.yaml   # Application architecture patterns (DESIGN)
-│   ├── service-tiering.yaml        # Service tier definitions
-│   ├── architecture-principles.yaml # ECAL architecture principles
-│   ├── operational-raci.yaml       # RACI matrix templates
-│   ├── engagement-raci.yaml        # ECAL engagement RACI (10 roles)
-│   ├── business-drivers.yaml       # 4-pillar business drivers
-│   ├── ecal-artefacts-catalog.yaml # Complete ECAL 3.1 artefacts (60 items)
-│   ├── environment-catalogue.yaml  # Environment templates per tier
-│   ├── database-ha/                # Database HA patterns
-│   ├── database-dr/                # Database DR patterns
-│   ├── networking-*/               # Networking patterns
-│   ├── compute-scaling/            # Compute auto-scaling
-│   ├── security-baseline/          # Security controls
-│   └── compliance-pci/             # PCI-DSS compliance
-├── sizing/            # CPU conversion ratios, IOPS, scaling rules
-├── pricing/           # Simplified pricing for estimation
-├── competitive/       # AWS/Azure/GCP service mapping
-├── well-architected/  # 5-pillar validation checklists
-├── diagram/           # OCI Toolkit styles and reference layouts
-├── compatibility/     # Feature matrices (ADB, etc.)
-└── field-knowledge/   # Real-world gotchas and lessons learned
-```
 
 ---
 
@@ -579,12 +521,8 @@ kb/
 | Template | Phase | Purpose |
 |----------|-------|---------|
 | `workload-profile.yaml` | DEFINE | Discovery capture |
-| `customer-profile.yaml` | DEFINE | Strategic customer profiling |
-| `strategy-map.yaml` | DEFINE | Goals→Strategies→Capabilities→Enablers |
 | `value-story.yaml` | DEFINE | Business value hypothesis |
 | `joint-engagement-plan.yaml` | DEFINE | Engagement scoping |
-| `business-case.yaml` | DEFINE | Business case for approval |
-| `discovery-questionnaire.yaml` | DESIGN | Structured IT collection |
 | `operations-model.yaml` | DESIGN | Day-2 operations design |
 | `scorecard.yaml` | DESIGN | WA validation results |
 | `adr-template.md` | DESIGN | Architecture Decision Records |
@@ -604,27 +542,71 @@ kb/
 - Present trade-offs explicitly. Let the architect decide.
 - Produce the **minimum needed** for the engagement tier — don't pad.
 
+### Minimal Output — Work Silently
+
+**Do NOT narrate your internal process.** The architect does not need a play-by-play of what you are doing. Specifically:
+
+- **Do NOT** announce each file you are about to read ("Let me check the service catalog...", "Reading the pricing file...").
+- **Do NOT** list the KB files, templates, or patterns you are consulting.
+- **Do NOT** describe intermediate reasoning steps ("First I'll parse your notes, then I'll...", "Now I'm matching services against the catalog...").
+- **Do NOT** echo back the user's input as a summary before starting work.
+- **Do NOT** show progress updates for sub-steps ("Step 1 done, moving to step 2...").
+
+**What TO show:**
+- Clarifying questions (when input is ambiguous or incomplete).
+- The pre-generation review (component confirmation before generating artifacts).
+- The final deliverable (scorecard, deck summary, file list, next-step menu).
+- Errors or blockers that require the architect's input.
+
+**In short:** Go from input → clarifying question (if needed) → pre-generation confirmation → final output. Skip everything in between. The architect cares about results, not process.
+
 ---
 
 ## Guardrails
 
-- **Only what the user asked for.** Never add services, components, or features the user did not request — this includes observability (Monitoring, Logging, Events), security services (Data Safe, Vault, Cloud Guard, WAF), sizing details, connection types (RPC, peering), and any "nice to have" additions. Adding unrequested components wastes the architect's time and erodes trust.
+- **Only what the user asked for.** Never add services, components, or features the user did not request — this includes observability (Monitoring, Logging, Events), security services (Data Safe, Vault, Cloud Guard, WAF), sizing details, connection types (RPC, peering), and any "nice to have" additions. Adding unrequested components wastes the architect's time and erodes trust. The ONLY exception is the closed whitelist of technical dependencies below.
+
+- **Technical dependency whitelist (closed — nothing else is auto-added):**
+
+  | If the user requests… | Auto-include | Reason |
+  |---|---|---|
+  | FastConnect | DRG | FastConnect terminates on DRG — cannot work without it |
+  | VPN Connect | DRG | IPSec tunnels terminate on DRG |
+  | ADB-S / ExaCS with backup to Object Storage | Service Gateway | Backup traffic requires SGW for Oracle Services Network |
+  | Any service in a public subnet | Internet Gateway | Public subnet routing requires IGW |
+  | Any private subnet service needing internet egress | NAT Gateway | Private-to-internet routing requires NAT |
+  | Cross-region DR (Data Guard, FSDR) | Remote Peering Connection (RPC) | Cross-region VCN connectivity requires RPC on both DRGs |
+
+  Everything NOT in this table — including Monitoring, Logging, Events, Vault, Data Safe, WAF, Cloud Guard, Bastion, management subnets, compartment boundaries — requires explicit user approval via the pre-generation review.
+
 - **Ask, don't guess.** When requirements are ambiguous or incomplete, ask a clarifying question instead of filling in assumptions. A 10-second question saves a 10-minute redo.
-- **Pre-generation review.** Before generating any diagram or architecture artifact, confirm the component list with the user. Present what you understood and suggest optional additions they can approve or reject:
-  ```
-  I'll generate a diagram with:
-  ✅ [list of explicitly requested components]
 
-  Want me to also include any of these?
+- **MANDATORY pre-generation review.** Before generating ANY diagram, deck, or architecture artifact, you MUST confirm the component list with the user. Never skip this step. Present three clearly separated sections:
-  • Observability subnet
-  • Compartment boundaries
-  • Security services (Data Safe, Vault)
-  • Gateways (IGW, NAT, SGW)
-  • [other relevant options based on context]
-
-  Or just generate with the above?
   ```
-  This takes 5 seconds to confirm and prevents rework.
+  I'll generate with:
+
+  REQUESTED (from your input):
+  ✅ [only components explicitly mentioned by the user]
+
+  TECHNICAL DEPENDENCIES (auto-added per whitelist):
+  ⚙️ [only items from the whitelist table above, with reason]
+
+  OPTIONAL — want me to add any of these?
+  ○ Observability (Monitoring, Logging, Events)
+  ○ Security services (Vault, Data Safe, WAF, Cloud Guard)
+  ○ Management subnet
+  ○ Compartment boundaries
+  ○ Bastion / jump host
+  ○ [other relevant options based on context]
+
+  Generate with the above, or adjust?
+  ```
+  Wait for the user's response before generating. If the user says "just generate" or equivalent, proceed with only REQUESTED + TECHNICAL DEPENDENCIES (no optionals).
+
+- **Source attribution.** When the user provides documents, URLs, meeting notes, or external data:
+  - Cite the source when extracting data: "From [document/source]: [extracted fact]"
+  - Clearly separate facts from the source vs. your own inferences
+  - If the source contradicts the internal KB, flag the conflict explicitly and let the architect decide
 
 ## What You Do NOT Do
 
@@ -632,20 +614,10 @@ kb/
 - You do NOT replace the architect's judgment. You accelerate it.
 - You do NOT generate pixel-perfect diagrams. You generate 80% drafts the architect refines.
 - You do NOT make up pricing. If you don't have current pricing, estimate ranges.
+- You do NOT use WebSearch / WebFetch / `oracle.com` for OCI list prices or SKU lookups. `kb/pricing/oci-sku-catalog.yaml` is auto-refreshed via `tools/refresh_sku_catalog.py` (Oracle apexapps pricing API) and is the source of truth — including for ECPU/OCPU rates, BYOL deltas, Exadata X11M part numbers, and ADB-D ECPU SKUs. Web fallback is allowed ONLY when (a) the SKU is genuinely absent after `grep` AND a fresh `--refresh` still does not surface it, or (b) the catalog's `last_verified` is >60 days stale and a refresh is not currently possible. In either case, cite the source URL alongside the part number. Reflexively reaching for WebSearch when the catalog already has the answer is the most common cost-estimate failure mode — don't.
 - You do NOT claim features exist if you're unsure. Check the KB first.
 - You do NOT do detailed project management. DELIVER artifacts are lightweight handover aids.
 - You do NOT add services or components the user did not request.
+- **The skill ships as an MCP server.** This repo is packaged and served via the hosted MCP at `https://mcp.tech-lad.com/deal-accelerator/mcp/`. Anything you change in the skill's runtime — `tools/`, `scripts/`, `kb/`, `SKILL.md`, `AGENTS.md`, `.agents/` — must keep working in that deployed environment, not just on the SA's laptop. Concrete implications: (1) NO machine-specific paths (use `pathlib.Path(__file__).resolve().parent.parent` or env vars, never hardcoded `/mnt/c/...` or `/home/diego/...`); (2) NO required network calls during normal operation (the MCP container won't have access to drawio.exe, paid APIs, or Diego's local files — opt-in via env vars like `DRAWIO_EXE` / `ANTHROPIC_API_KEY`, never required); (3) NO writes outside the repo tree (the MCP filesystem is the cloned repo, write only under `examples/`, `tmp/`, or the artifacts the skill is meant to produce); (4) NO new dependencies that aren't in `requirements.txt` (CI installs from there, the MCP container too); (5) any new tool must work in a fresh clone with `make venv` — no manual setup steps. Before adding a feature that depends on a binary, an external service, or a privileged operation, ask whether it'll work when the SA is hitting the MCP endpoint with no laptop attached.
 
----
+- **You do NOT edit skill source code or tooling when the user is in "menu mode".** When the user invoked the skill via the welcome menu (options 1–14) or asked for one of the menu outputs (proposal, diagram, deck, BOM, WA review, etc.), your job is to USE the existing tools, not modify them. Do NOT touch `tools/`, `scripts/`, `kb/diagram/*.json`, or any other code/index file as part of fulfilling a menu request — even if you discover a bug or a missing alias mid-task. If you hit a tool gap (missing icon alias, broken renderer, type that doesn't resolve), surface it as a follow-up at the end of your reply (e.g. "I noticed `refreshable_clone` doesn't have a PPTX icon alias — flag this for the maintainer to add to `tools/oci_pptx_diagram_gen.py::TYPE_TO_ICON`") rather than silently patching it. Code edits happen in a separate "developer mode" engagement, not while the SA is generating customer artifacts. The two exceptions: (1) `kb/field-findings/tracker.yaml` via menu option 11 (the menu's purpose IS to write that file), and (2) writing the customer's spec/output YAML files under `examples/<customer>/` — those are the deliverable, not the skill itself.
-
-## Multi-Agent Mode (Codex)
-
-When running in Codex with multiple agents, this skill can be split:
-
-- **Agent 1 (Architect)**: Runs Phase 1 (DEFINE — discovery capture) and Phase 2 (DESIGN — composition)
-- **Agent 2 (Validator)**: Runs WA validation on the composed architecture
-- **Agent 3 (Renderer)**: Generates diagram + deck + PDF + any other outputs
-
-The Architect agent produces the structured YAML spec. The Validator annotates it with WA findings. The Renderer consumes the annotated spec and produces files.
-
-Each agent reads the same KB but focuses on its phase. The orchestrating agent (or the user) coordinates handoffs.

.claude/settings.json

@@ -0,0 +1,20 @@
+{
+  "permissions": {
+    "allow": [
+      "Read(**)",
+      "Write(examples/**)",
+      "Write(output/**)",
+      "Bash(python3.12:*)",
+      "Bash(python3:*)",
+      "Bash(.venv/bin/python:*)",
+      "Bash(make:*)",
+      "Bash(git:*)",
+      "Bash(pip:*)",
+      "Bash(pip3:*)",
+      "Bash(pip3.12:*)",
+      "Bash(ls:*)",
+      "Bash(which:*)",
+      "Bash(find:*)"
+    ]
+  }
+}

.claude/settings.local.json

@@ -60,7 +60,156 @@
       "Bash(PYTHONPATH=/tmp/pptx_ok python3 -c \"from pptx import Presentation; print\\(''''OK''''\\)\")",
       "Bash(PYTHONPATH=/tmp/pptx_ok python3 /tmp/migrate_to_oracle.py)",
       "Bash(PYTHONPATH=/tmp/pptx_ok python3 -c \"\nfrom pptx import Presentation\nprs = Presentation\\('/mnt/c/Users/Diego/Documents/oci-deal-accelerator/oci-deal-accelerator/templates/Oracle_PPT-template_FY26.pptx'\\)\nprint\\('Template has {} existing slides'.format\\(len\\(prs.slides\\)\\)\\)\n\")",
-      "Bash(grep:*)"
+      "Bash(grep:*)",
+      "Bash(ls \"/mnt/c/Users/Diego/Documents/oci-deal-accelerator-oracle/oci-deal-accelerator/templates/Oracle_PPT\"*)",
+      "Bash(ls \"/mnt/c/Users/Diego/Documents/oci-deal-accelerator-oracle/oci-deal-accelerator/templates/\"*.pptx)",
+      "Bash(ls \"/mnt/c/Users/Diego/Documents/oci-deal-accelerator-oracle/oci-deal-accelerator/templates/\"*.potx)",
+      "Bash(python3.12 -c \"import drawpyo\")",
+      "Bash(python3.12 tools/oci_diagram_gen.py --spec examples/output-meli-kvs/diagram-spec.yaml --output examples/output-meli-kvs/architecture.drawio)",
+      "Bash(python3.12 tools/oci_pdf_gen.py --spec examples/output-meli-kvs/proposal-spec.yaml --output examples/output-meli-kvs/customer-proposal.pdf)",
+      "Bash(python3.12 -c \":*)",
+      "Bash(python3.12 tools/oci_deck_gen.py --spec examples/output-meli-kvs/proposal-spec.yaml --output examples/output-meli-kvs/architecture-proposal.pptx)",
+      "Bash(python3.12 tools/oci_bizcase_gen.py --spec examples/output-meli-kvs/business-case.yaml --output examples/output-meli-kvs/business-case.pptx)",
+      "Bash(python3 -c \":*)",
+      "WebFetch(domain:github.com)",
+      "Bash(curl -s --max-time 15 -H \"X-Oracle-Accept-CurrencyCode: USD\" \"https://itra.oraclecloud.com/itas/.anon/myservices/api/v1/products?limit=2&partNumber=B110627\")",
+      "Bash(curl -v --max-time 10 -H \"X-Oracle-Accept-CurrencyCode: USD\" \"https://itra.oraclecloud.com/itas/.anon/myservices/api/v1/products?limit=1\")",
+      "Bash(curl -s --max-time 15 \"https://apexapps.oracle.com/pls/apex/cetools/api/v1/products/?partNumber=B110627&currencyCode=USD\")",
+      "Bash(find:*)",
+      "Bash(echo \"exit=$?\")",
+      "Bash(echo \"quiet exit=$?\")",
+      "Bash(make freshness:*)",
+      "Bash(echo \"freshness exit=$?\")",
+      "Bash(make help:*)",
+      "Bash(make lint:*)",
+      "Bash(curl -sS \"https://apexapps.oracle.com/pls/apex/cetools/api/v1/products/?currencyCode=USD\")",
+      "Bash(/bin/rm kb/pricing/ai-ml.yaml kb/pricing/analytics.yaml kb/pricing/containers-serverless.yaml kb/pricing/database.yaml kb/pricing/developer.yaml kb/pricing/hybrid-vmware.yaml kb/pricing/integration.yaml kb/pricing/networking.yaml kb/pricing/observability.yaml kb/pricing/pricing-models.yaml kb/pricing/security.yaml kb/pricing/storage.yaml)",
+      "Bash(python3.12 tools/oci_deck_gen.py --spec examples/proposal-spec.yaml --output examples/output-cli-improvements-deliverables/architecture-proposal.pptx)",
+      "Bash(python3.12 tools/oci_diagram_gen.py --spec examples/diagram-spec.yaml --output examples/output-cli-improvements-deliverables/architecture.drawio)",
+      "Bash(python3.12 tools/oci_pdf_gen.py --spec examples/proposal-spec.yaml --output examples/output-cli-improvements-deliverables/customer-proposal.pdf)",
+      "Bash(python3.12 tools/oci_bom_gen.py --spec examples/exacs-bom-spec.yaml --output examples/output-cli-improvements-deliverables/exacs-bom.xlsx)",
+      "Bash(python3.12 tools/oci_bom_gen.py --spec examples/exacs-x11m-bom-spec.yaml --output examples/output-cli-improvements-deliverables/exacs-x11m-bom.xlsx)",
+      "Bash(python3.12 tools/kb_cli.py search \"Autonomous Database\" --json)",
+      "Bash(python3.12 tools/findings_cli.py search \"adb\" --product ADB-S --json)",
+      "Bash(python3.12 tools/findings_cli.py stats --json)",
+      "Bash(python3.12 tools/kb_cli.py arch-search --services adb-s exacs --tags ha-dr --json)",
+      "Bash(python3.12 tools/kb_cli.py ecal-score --summary \"ADB-S migration with Data Guard business case architecture review customer profile strategy map handover go-live\" --json)",
+      "Bash(python3.12 tools/oci_bom_gen.py --spec examples/exacs-bom-spec.yaml --output examples/output-cli-improvements-deliverables/exacs-bom-appca.xlsx --appca)",
+      "Bash(python3.12 tools/oci_bom_gen.py --spec examples/exacs-x11m-bom-spec.yaml --output examples/output-cli-improvements-deliverables/exacs-x11m-bom-appca.xlsx --appca)",
+      "Bash(python3.12:*)",
+      "Bash(pip3.12 list:*)",
+      "Bash(pip3.12 install:*)",
+      "Bash(xargs ls:*)",
+      "WebFetch(domain:www.drawio.com)",
+      "WebFetch(domain:jgraph.github.io)",
+      "WebFetch(domain:raw.githubusercontent.com)",
+      "Bash(ls /root/.claude/projects/-mnt-c-Users-Diego-Documents-oci-deal-accelerator-oracle-oci-deal-accelerator/a0d00b4c-8d61-421c-8ba9-19bb85f15fdb/tool-results/*.zip)",
+      "WebFetch(domain:developers.openai.com)",
+      "Bash(echo \"---exit:$?---\")",
+      "Bash(date +%s)",
+      "Read(//tmp/**)",
+      "Bash(.venv/bin/pip install *)",
+      "Bash(curl -sS -o /dev/null -w \"HTTP:%{http_code}  dns:%{remote_ip}  time:%{time_total}s\\\\n\" --max-time 10 https://mcp.tech-lad.com/deal-accelerator/mcp/)",
+      "Bash(curl -sS -o /dev/null -w \"oauth HTTP:%{http_code}\\\\n\" --max-time 10 https://mcp.tech-lad.com/oauth/authorize)",
+      "mcp__oci-deal-accelerator__generate_deck",
+      "mcp__oci-deal-accelerator__generate_business_case",
+      "mcp__oci-deal-accelerator__generate_bom",
+      "mcp__oci-deal-accelerator__generate_bom_appca",
+      "Bash(mkdir -p /tmp/mcp-test-outputs)",
+      "Bash(curl -sS -o deck-nova.pptx       \"https://mcp.tech-lad.com/deal-accelerator/files/176ac90e-test-nova-retail-deck.pptx\")",
+      "Bash(curl -sS -o biz-nova.pptx        \"https://mcp.tech-lad.com/deal-accelerator/files/42dd4da2-test-nova-retail-bizcase.pptx\")",
+      "Bash(curl -sS -o bom-vector.xlsx      \"https://mcp.tech-lad.com/deal-accelerator/files/3868d74a-test-vector-retail-bom.xlsx\")",
+      "Bash(curl -sS -o bom-vector-appca.xlsx \"https://mcp.tech-lad.com/deal-accelerator/files/b34fa397-test-vector-retail-bom-appca.xlsx\")",
+      "Bash(curl -sS -o /tmp/mcp-test-outputs/biz-nova.pptx        \"https://mcp.tech-lad.com/deal-accelerator/files/42dd4da2-test-nova-retail-bizcase.pptx\")",
+      "Bash(curl -sS -o /tmp/mcp-test-outputs/bom-vector.xlsx      \"https://mcp.tech-lad.com/deal-accelerator/files/3868d74a-test-vector-retail-bom.xlsx\")",
+      "Bash(curl -sS -o /tmp/mcp-test-outputs/bom-vector-appca.xlsx \"https://mcp.tech-lad.com/deal-accelerator/files/b34fa397-test-vector-retail-bom-appca.xlsx\")",
+      "Bash(curl -sS -o /tmp/mcp-test-outputs/deck-vector.pptx     \"https://mcp.tech-lad.com/deal-accelerator/files/19c5330e-test-vector-bank-deck.pptx\")",
+      "Bash(curl -sS -o /tmp/mcp-test-outputs/biz-digital.pptx     \"https://mcp.tech-lad.com/deal-accelerator/files/16b90f10-test-vector-digital-bizcase.pptx\")",
+      "Bash(curl -sS -o /dev/null -w \"git remote HTTP: %{http_code}  time: %{time_total}s\\\\n\" --max-time 15 https://git.tech-lad.com.br/)",
+      "Bash(awk '/- sku:/{sku=$NF} /product:/{print sku\" - \"$0}' kb/pricing/oci-sku-catalog.yaml)",
+      "Bash(awk '{print $3}')",
+      "Bash(awk '/- sku: B110627|- sku: B110628|- sku: B110629|- sku: B90453/{print;f=1;next} f&&/product:/{print;f=0}' kb/pricing/oci-sku-catalog.yaml)",
+      "Bash(awk '/- sku:/{sku=$NF} /product:.*Exadata|product:.*ECPU|product:.*Autonomous/{print sku\" - \"$0}' kb/pricing/oci-sku-catalog.yaml)",
+      "Bash(awk '/- sku: B90453/,/product:/' kb/pricing/oci-sku-catalog.yaml)",
+      "Bash(awk '/- sku:/{sku=$NF} /product:.*ADB|product:.*NoSQL|product:.*HeatWave|product:.*MySQL/{print sku\" - \"$0}' kb/pricing/oci-sku-catalog.yaml)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" --help)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 10 -o \"tmp/compare-iter/iter1.png\" \"tmp/compare-iter/iter1.drawio\")",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 20 --crop -s 2 -o tmp/compare-iter/iter4_crop.png tmp/compare-iter/iter4.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 20 --crop -s 2 -o tmp/compare-iter/REFERENCE.png examples/output-meli-fraud-adbd-migration/adbsplusadbd.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 30 --crop -s 3 -o tmp/compare-iter/iter6_hires.png tmp/compare-iter/iter6.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 20 --crop -s 3 -o tmp/compare-iter/to_be_v1_hires.png tmp/compare-iter/to_be_v1.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 40 -s 4 -o tmp/compare-iter/to_be_v1_4x.png tmp/compare-iter/to_be_v1.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png --crop -b 20 --width 3000 -o tmp/compare-iter/to_be_v1_w3000.png tmp/compare-iter/to_be_v1.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 20 --crop --width 4500 -o tmp/compare-iter/to_be_v1_w4500.png tmp/compare-iter/to_be_v1.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 30 --crop --width 5000 -o tmp/compare-iter/as_is_final.png examples/output-meli-fraud-adbd-migration/fraud-as-is-adbs.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 30 --crop --width 5000 -o tmp/compare-iter/to_be_final.png examples/output-meli-fraud-adbd-migration/fraud-to-be-adbd.drawio)",
+      "Bash(curl -sL \"https://docs.oracle.com/en/solutions/deploy-autonomous-database-db-at-azure/index.html\" -o tmp/oracle-ref-archs/adb-azure.html)",
+      "Bash(curl -sL -w 'HTTP:%{http_code} size:%{size_download}\\\\n' \"https://docs.oracle.com/en/solutions/deploy-autonomous-database-db-at-azure/index.html\" -o /tmp/x.html)",
+      "Bash(curl -sL -w 'HTTP:%{http_code} size:%{size_download}\\\\n' \"https://docs.oracle.com/en/solutions/deploy-autonomous-database-db-at-azure/img/autonomous-database-db-azure-diagram-oracle.zip\" -o adb-azure.zip)",
+      "Bash(unzip -l adb-azure.zip)",
+      "Bash(unzip -o -q adb-azure.zip)",
+      "Bash(mv oracle-adb-jde-exadata-arch-oracle *)",
+      "Bash(curl -sL \"https://docs.oracle.com/en/solutions/dataguard-exadata-dedicated-infrastructure/index.html\" -o dg-exa-dedicated.html)",
+      "Bash(curl -sL \"https://docs.oracle.com/en/solutions/dataguard-exadata-dedicated-infrastructure/img/exadata-dedicated-region-dataguard.zip\" -o dg-exa-region.zip)",
+      "Bash(curl -sL \"https://docs.oracle.com/en/solutions/dataguard-exadata-dedicated-infrastructure/img/exadata-dedicated-cross-region-dataguard.zip\" -o dg-exa-cross-region.zip)",
+      "Bash(unzip -o -q dg-exa-region.zip)",
+      "Bash(unzip -o -q dg-exa-cross-region.zip)",
+      "Bash('/mnt/c/Program Files/draw.io/draw.io.exe' -x -f png -b 20 --crop -o /mnt/c/Users/Diego/Documents/oci-deal-accelerator-oracle/oci-deal-accelerator/tmp/oracle-ref-archs/oracle-adb-jde-exadata-arch-oracle/oracle-adb-jde-exadata-arch.png /mnt/c/Users/Diego/Documents/oci-deal-accelerator-oracle/oci-deal-accelerator/tmp/oracle-ref-archs/oracle-adb-jde-exadata-arch-oracle/oracle-adb-jde-exadata-arch.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 20 --crop -s 2 -o /mnt/c/Users/Diego/Documents/oci-deal-accelerator-oracle/oci-deal-accelerator/tmp/oracle-ref-archs/oracle-adb-jde-exadata-arch-oracle/oracle-adb-jde-exadata-arch.png /mnt/c/Users/Diego/Documents/oci-deal-accelerator-oracle/oci-deal-accelerator/tmp/oracle-ref-archs/oracle-adb-jde-exadata-arch-oracle/oracle-adb-jde-exadata-arch.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 20 --crop -s 2 -o tmp/oracle-ref-archs/oracle-adb-jde-exadata-arch-oracle/rendered.png tmp/oracle-ref-archs/oracle-adb-jde-exadata-arch-oracle/oracle-adb-jde-exadata-arch.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 20 --crop -s 2 -o tmp/compare-iter/fraud-as-is-template.png examples/output-meli-fraud-adbd-migration/fraud-as-is-template.drawio)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -b 20 --crop -s 2 -o tmp/compare-iter/fraud-to-be-template.png examples/output-meli-fraud-adbd-migration/fraud-to-be-template.drawio)",
+      "WebFetch(domain:www.bugraparlayan.com.tr)",
+      "WebFetch(domain:www.infolob.com)",
+      "Bash(curl -sS \"https://git.tech-lad.com.br/api/v1/repos/diegoecab/oci-deal-accelerator/actions/runs?limit=10\")",
+      "Bash(curl -sS \"https://git.tech-lad.com.br/api/v1/repos/diegoecab/oci-deal-accelerator/actions/secrets\")",
+      "Bash(curl -sS -o /dev/null -w \"%{http_code}\\\\n\" \"https://git.tech-lad.com.br/api/v1/repos/diegoecab/oci-deal-accelerator\")",
+      "Bash(curl -sS \"https://git.tech-lad.com.br/diegoecab/oci-deal-accelerator/raw/branch/main/.gitea/workflows/sku-catalog-refresh.yaml\")",
+      "Bash(curl -sS -o /dev/null -w \"%{http_code}\\\\n\" \"https://git.tech-lad.com.br/diegoecab/oci-deal-accelerator/raw/branch/main/.gitea/workflows/sku-catalog-refresh.yaml\")",
+      "Bash(curl -sS \"https://git.tech-lad.com.br/api/v1/repos/diegoecab/oci-deal-accelerator/issues?type=issues&state=open&limit=5&sort=newest\")",
+      "Bash(curl -sS \"https://git.tech-lad.com.br/api/v1/repos/diegoecab/oci-deal-accelerator/branches?limit=50\")",
+      "Bash(curl -sS \"https://git.tech-lad.com.br/api/v1/repos/diegoecab/oci-deal-accelerator\")",
+      "Bash(xargs -n1 grep -l '\"fidelity\"')",
+      "Bash(xargs '-I{}' .venv/bin/python -c ' *)",
+      "Bash(apt-cache show *)",
+      "Bash(apt list *)",
+      "Read(//mnt/c/Program Files/draw.io/**)",
+      "Read(//mnt/c/Users/Diego/AppData/Local/Programs/draw.io/**)",
+      "Read(//mnt/c/**)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -o /tmp/test-drawio.png examples/dataguard-exa-dedicated-in-region/out/dataguard-exa-dedicated-in-region.drawio)",
+      "Bash(mkdir -p /mnt/c/Users/Diego/tmp-drawio-export)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png -s 2 -o /mnt/c/Users/Diego/tmp-drawio-export/test.png examples/dataguard-exa-dedicated-in-region/out/dataguard-exa-dedicated-in-region.drawio)",
+      "Bash(mkdir -p '/mnt/c/Users/Diego/tmp-drawio-export')",
+      "Bash('/mnt/c/Program Files/draw.io/draw.io.exe' -x -f png -s 2 -o 'C:\\\\Users\\\\Diego\\\\tmp-drawio-export\\\\test.png' 'C:\\\\Users\\\\Diego\\\\Documents\\\\oci-deal-accelerator-oracle\\\\oci-deal-accelerator\\\\examples\\\\dataguard-exa-dedicated-in-region\\\\out\\\\dataguard-exa-dedicated-in-region.drawio')",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/asis-adb-s-local-dr.drawio --out tmp/drawio-renders/asis-v3.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/tobe-adb-d-active-dataguard.drawio --out tmp/drawio-renders/tobe-v3.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/asis-adb-s-local-dr.drawio --out tmp/drawio-renders/asis-v4.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/tobe-adb-d-active-dataguard.drawio --out tmp/drawio-renders/tobe-v4.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/asis-adb-s-local-dr.drawio --out tmp/drawio-renders/asis-v5.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/tobe-adb-d-active-dataguard.drawio --out tmp/drawio-renders/tobe-v5.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/asis-adb-s-local-dr.drawio --out tmp/drawio-renders/asis-v6.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/tobe-adb-d-active-dataguard.drawio --out tmp/drawio-renders/tobe-v6.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/asis-adb-s-local-dr.drawio --out tmp/drawio-renders/asis-v7.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/tobe-adb-d-active-dataguard.drawio --out tmp/drawio-renders/tobe-v7.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/tobe-adb-d-active-dataguard.drawio --out tmp/drawio-renders/tobe-v9.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/tobe-adb-d-active-dataguard.drawio --out tmp/drawio-renders/tobe-final.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/asis-adb-s-local-dr.drawio --out tmp/drawio-renders/asis-final2.png)",
+      "Bash(DRAWIO_EXE=\"/mnt/c/Program Files/draw.io/draw.io.exe\" .venv/bin/python tools/drawio_to_png.py --drawio examples/asis-tobe-adb-modernization/out/tobe-adb-d-active-dataguard.drawio --out tmp/drawio-renders/tobe-final2.png)",
+      "Bash(.githooks/pre-commit)",
+      "Bash(unzip -l awr_Transactional.zip)",
+      "Bash(mkdir -p /tmp/awr_meli)",
+      "Bash(unzip -o \"/mnt/c/Users/Diego/Documents/Meli/ABD-M/April 2026 - Fraude ADB-S to ADB-D/awr_Transactional.zip\")",
+      "Bash(cp \"/mnt/c/Users/Diego/Documents/Meli/ABD-M/April 2026 - Fraude ADB-S to ADB-D/meli-fraud-adbd-arch.pptx\" /tmp/meli-fraud-adbd-arch.pptx)",
+      "Bash(unzip -o meli-fraud-adbd-arch.pptx -d meli-pptx-extracted/)",
+      "Bash(cp -f \"/mnt/c/Users/Diego/Documents/Meli/ABD-M/April 2026 - Fraude ADB-S to ADB-D/meli-fraud-adbd-arch.pptx\" /tmp/meli-fraud-adbd-arch.pptx)",
+      "Bash(rm -rf /tmp/meli-pptx-extracted)",
+      "Bash(unzip -oq /tmp/meli-fraud-adbd-arch.pptx -d /tmp/meli-pptx-extracted/)",
+      "Bash(cp -f \"/mnt/c/Users/Diego/Documents/Meli/ABD-M/April 2026 - Fraude ADB-S to ADB-D/meli-fraud-adbd-arch.pptx\" meli-fraud-adbd-arch.pptx)",
+      "Bash(rm -rf meli-pptx-extracted)",
+      "Bash(unzip -oq meli-fraud-adbd-arch.pptx -d meli-pptx-extracted/)",
+      "Bash(yes)",
+      "WebFetch(domain:blog.shadabmohammad.com)",
+      "Bash(\"/mnt/c/Program Files/draw.io/draw.io.exe\" -x -f png --scale 1 -o \"$\\(pwd\\)/examples/output-aws-mysql-to-oci-heatwave-fsdr/aws-mysql-to-heatwave-fsdr.png\" \"$\\(pwd\\)/examples/output-aws-mysql-to-oci-heatwave-fsdr/aws-mysql-to-heatwave-fsdr.drawio\")"
     ]
   }
 }

.codex/config.toml

@@ -0,0 +1,21 @@
+# Codex project configuration for OCI Deal Accelerator
+# Applies to every user who opens this project with Codex CLI.
+
+# Allow the agent to run commands without per-command approval prompts.
+approval_policy = "never"
+
+# Workspace-write: agent can write inside the project root but not system-wide.
+sandbox_mode = "workspace-write"
+
+[sandbox_workspace_write]
+# Allow network access so `pip install -r requirements.txt` and `make venv`
+# can actually download dependencies. Without this, Codex blocks PyPI.
+network_access = true
+writable_roots = []
+exclude_tmpdir_env_var = false
+exclude_slash_tmp = false
+
+[shell_environment_policy]
+# Inherit the user's shell env so python3.12 / python3 resolution works
+# the same way as the Makefile expects.
+inherit = "all"

.gitea/workflows/deploy.yaml

@@ -0,0 +1,50 @@
+# Auto-deploy OCI Deal Accelerator skill to MCP server on every push to main.
+# Requires secrets: OCI_SSH_KEY (private key), OCI_HOST (DNS alias).
+name: Deploy Skill to OCI
+
+on:
+  push:
+    branches: [main]
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    timeout-minutes: 5
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup SSH
+        run: |
+          mkdir -p ~/.ssh
+          echo "${{ secrets.OCI_SSH_KEY }}" > ~/.ssh/deploy_key
+          chmod 600 ~/.ssh/deploy_key
+          ssh-keyscan -H ${{ secrets.OCI_HOST }} >> ~/.ssh/known_hosts 2>/dev/null
+
+      - name: Sync skill to server
+        run: |
+          tar --exclude='.git' --exclude='.gitea' -czf /tmp/skill.tar.gz .
+          scp -i ~/.ssh/deploy_key /tmp/skill.tar.gz ubuntu@${{ secrets.OCI_HOST }}:/tmp/skill.tar.gz
+          ssh -i ~/.ssh/deploy_key ubuntu@${{ secrets.OCI_HOST }} '
+            rm -rf /home/ubuntu/oci-deal-accelerator-oracle/oci-deal-accelerator/*
+            tar -xzf /tmp/skill.tar.gz -C /home/ubuntu/oci-deal-accelerator-oracle/oci-deal-accelerator/
+            rm /tmp/skill.tar.gz
+          '
+
+      - name: Restart containers
+        run: |
+          ssh -i ~/.ssh/deploy_key ubuntu@${{ secrets.OCI_HOST }} '
+            cd /home/ubuntu/skills-platform &&
+            docker compose -f docker-compose.prod.yaml restart tools-service mcp-deal-accelerator
+          '
+
+      - name: Wait for healthy
+        run: |
+          ssh -i ~/.ssh/deploy_key ubuntu@${{ secrets.OCI_HOST }} '
+            timeout 60 bash -c "
+              until docker inspect --format=\"{{.State.Health.Status}}\" mcp-deal-accelerator 2>/dev/null | grep -q healthy; do
+                sleep 3
+              done
+            "
+          '

.gitea/workflows/diagram-validators.yaml

@@ -0,0 +1,75 @@
+# Diagram-validator gate.
+#
+# Runs on every push and PR. Two checks:
+#
+#   1. diagram-spec-audit — every absolute_layout spec under examples/
+#      passes tools/diagram_spec_validator.py (geometry rules:
+#      CONTAINER_TOO_THIN, CONTAINER_PADDING_VIOLATION,
+#      LABEL_OVERFLOW_PARENT). Hard fail surfaces the regressions
+#      Diego flagged on the MySQL HeatWave HA example.
+#
+#   2. drawio-validators-smoke — re-renders the canonical example with
+#      tools/oci_diagram_gen.py so the post-render
+#      drawio_visual_validator runs (font sizes, dangling edges,
+#      duplicate ids, off-canvas geometry).
+#
+# Failures block the merge so a busted geometry never ships.
+
+name: Diagram validators
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'examples/**'
+      - 'kb/diagram/**'
+      - 'tools/diagram_spec_validator.py'
+      - 'tools/drawio_visual_validator.py'
+      - 'tools/oci_diagram_gen.py'
+      - 'tools/oci_pptx_diagram_gen.py'
+  pull_request:
+    branches: [main]
+  workflow_dispatch:
+
+jobs:
+  diagram-validators:
+    runs-on: ubuntu-latest
+    timeout-minutes: 5
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Python
+        run: |
+          apt-get update -qq
+          apt-get install -y --no-install-recommends python3 python3-pip python3-yaml
+          python3 --version
+
+      - name: Install minimal deps
+        run: |
+          python3 -m pip install --quiet --upgrade pip
+          python3 -m pip install --quiet drawpyo lxml pyyaml
+
+      - name: Spec validator audit (every absolute_layout spec)
+        run: |
+          set -e
+          total=0; failed=0
+          for f in $(find examples -name 'diagram-spec.yaml' -o -name '*-diagram-spec.yaml'); do
+            total=$((total+1))
+            if ! python3 tools/diagram_spec_validator.py --spec "$f" --strict; then
+              failed=$((failed+1))
+            fi
+          done
+          echo "Validated $total spec(s); $failed hard-failed."
+          test $failed -eq 0
+
+      - name: Re-render canonical example (drawio post-render validator)
+        run: |
+          if [ -f examples/aws-app-mysql-heatwave-ha/specs/diagram-spec.yaml ]; then
+            python3 tools/oci_diagram_gen.py \
+              --spec examples/aws-app-mysql-heatwave-ha/specs/diagram-spec.yaml \
+              --output /tmp/aws-app-mysql-heatwave-ha.drawio --strict
+          else
+            echo "Canonical example missing — skipping drawio smoke test"
+          fi

.gitea/workflows/kb-health.yaml

@@ -0,0 +1,75 @@
+# Weekly KB health check — validates catalog links and reports broken URLs.
+# Runs Monday 8am UTC. Does NOT block deployments or affect user experience.
+# If broken links found, creates a Gitea issue for manual review.
+name: KB Health Check
+
+on:
+  schedule:
+    - cron: '0 8 * * 1'
+  workflow_dispatch:
+
+jobs:
+  check-links:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Python
+        run: |
+          apt-get update -qq
+          apt-get install -y --no-install-recommends python3 python3-requests python3-bs4 python3-yaml
+          python3 --version
+
+      - name: Check Architecture Center links
+        id: check
+        continue-on-error: true
+        run: |
+          python3 tools/refresh_arch_catalog.py --check-links 2>&1 | tee /tmp/link-check.txt
+          echo "exit_code=$?" >> $GITHUB_OUTPUT
+
+      - name: Check SKU catalog freshness
+        id: sku
+        continue-on-error: true
+        run: |
+          python3 tools/refresh_sku_catalog.py --validate 2>&1 | tee -a /tmp/link-check.txt
+
+      - name: Create issue if problems found
+        if: steps.check.outcome == 'failure'
+        run: |
+          BROKEN=$(grep -c "❌" /tmp/link-check.txt || echo "0")
+          REDIRECTED=$(grep -c "↪️" /tmp/link-check.txt || echo "0")
+          BODY=$(cat <<'ISSUE_EOF'
+          ## KB Health Check — Broken Links Found
+
+          **Run date:** $(date -u +%Y-%m-%d)
+          **Broken:** $BROKEN URLs
+          **Redirected:** $REDIRECTED URLs
+
+          <details>
+          <summary>Full report</summary>
+
+          ```
+          $(cat /tmp/link-check.txt)
+          ```
+          </details>
+
+          ### Action needed
+          - For 404s: remove entry or find new URL via `python tools/refresh_arch_catalog.py --whats-new`
+          - For redirects: update URL in `kb/architecture-center/catalog.yaml`
+          ISSUE_EOF
+          )
+          # Note: Gitea issue creation requires gitea CLI or API call
+          # For now, save report as artifact
+          echo "$BODY" > /tmp/kb-health-report.md
+          echo "::warning::$BROKEN broken links found in KB catalog"
+
+      - name: Upload report
+        if: always()
+        uses: actions/upload-artifact@v3
+        with:
+          name: kb-health-report
+          path: /tmp/link-check.txt
+          retention-days: 30

.gitea/workflows/skill-sync.yaml

@@ -0,0 +1,67 @@
+# SKILL.md sync gate.
+#
+# Why: the root SKILL.md (read by Claude Code) and
+# .agents/skills/oci-deal-accelerator/SKILL.md (read by Codex) MUST
+# stay byte-aligned modulo the auto-generated banner. If they drift,
+# the two agents give the user different instructions — exactly the
+# class of regression that produced the workload-driven-mode incident
+# Diego flagged on 2026-04-25.
+#
+# This workflow blocks the merge if a PR/push leaves them out of
+# sync. Locally, ``make install-hooks`` enables a pre-commit hook
+# that auto-syncs before the commit lands; this CI step is the
+# safety net for anyone who skipped the hook.
+
+name: SKILL.md sync
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'SKILL.md'
+      - '.agents/skills/oci-deal-accelerator/SKILL.md'
+      - 'scripts/sync-skill.py'
+  pull_request:
+    branches: [main]
+    paths:
+      - 'SKILL.md'
+      - '.agents/skills/oci-deal-accelerator/SKILL.md'
+      - 'scripts/sync-skill.py'
+  workflow_dispatch:
+
+jobs:
+  check-sync:
+    runs-on: ubuntu-latest
+    timeout-minutes: 2
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Setup Python
+        run: |
+          apt-get update -qq
+          apt-get install -y --no-install-recommends python3
+          python3 --version
+
+      - name: Verify SKILL.md is in sync with the Codex copy
+        run: |
+          python3 scripts/sync-skill.py --check
+
+      - name: Reject .agents/ edits without a matching root SKILL.md change
+        if: github.event_name == 'pull_request'
+        run: |
+          # If only .agents/skills/.../SKILL.md is in the diff (no
+          # change to root SKILL.md), someone edited the auto-generated
+          # copy directly. That edit will be silently destroyed by the
+          # next sync. Block the PR with a clear message.
+          base="${{ github.event.pull_request.base.sha }}"
+          head="${{ github.event.pull_request.head.sha }}"
+          changed=$(git diff --name-only "$base" "$head" || true)
+          if echo "$changed" | grep -qx ".agents/skills/oci-deal-accelerator/SKILL.md"; then
+            if ! echo "$changed" | grep -qx "SKILL.md"; then
+              echo "::error::PR edits .agents/skills/.../SKILL.md without touching root SKILL.md."
+              echo "::error::That file is auto-generated. Move the edit to SKILL.md and run 'make sync-skill'."
+              exit 1
+            fi
+          fi

.gitea/workflows/sku-catalog-refresh.yaml

@@ -0,0 +1,163 @@
+# Monthly SKU catalog refresh.
+#
+# Runs on the 1st of each month at 09:00 UTC and on manual dispatch.
+#
+# Does two things:
+#   1. `--refresh`: pulls latest PAYG prices from Oracle's public API,
+#      updates kb/pricing/oci-sku-catalog.yaml, and opens a PR if anything
+#      changed.
+#   2. `--discover`: reports SKUs present in the API but absent from the
+#      catalog (filtered to serviceCategory values already curated).
+#      If new SKUs are found, opens a Gitea issue listing them by category
+#      for manual review.
+#
+# Token:
+#   Uses the auto-provisioned secrets.GITHUB_TOKEN (Gitea Actions provides this
+#   per-run, scoped to this repo, GitHub-Actions-compatible). No manual secret
+#   configuration required. The explicit `permissions:` block below grants the
+#   scopes needed to push a branch, open a PR, and open an issue.
+name: SKU Catalog Refresh
+
+on:
+  schedule:
+    - cron: '0 9 1 * *'
+  workflow_dispatch:
+
+permissions:
+  contents: write
+  pull-requests: write
+  issues: write
+
+jobs:
+  refresh-and-discover:
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Setup Python
+        run: |
+          apt-get update -qq
+          apt-get install -y --no-install-recommends python3 python3-requests python3-yaml jq
+          python3 --version
+
+      - name: Refresh prices from Oracle API
+        id: refresh
+        run: |
+          python3 tools/refresh_sku_catalog.py --refresh --diff 2>&1 \
+            | tee /tmp/refresh.log
+          if git diff --quiet kb/pricing/oci-sku-catalog.yaml; then
+            echo "changed=false" >> $GITHUB_OUTPUT
+          else
+            echo "changed=true" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Discover missing SKUs
+        id: discover
+        run: |
+          python3 tools/refresh_sku_catalog.py --discover -v 2>&1 \
+            | tee /tmp/discover.log
+          NEW_COUNT=$(sed -n 's/^DISCOVER_MISSING_COUNT=\([0-9]\+\)$/\1/p' \
+            /tmp/discover.log | tail -1)
+          echo "Parsed new_count='${NEW_COUNT}'"
+          echo "new_count=${NEW_COUNT:-0}" >> $GITHUB_OUTPUT
+
+      - name: Upload logs as artifact
+        if: always()
+        uses: actions/upload-artifact@v3
+        with:
+          name: sku-refresh-logs
+          path: |
+            /tmp/refresh.log
+            /tmp/discover.log
+          retention-days: 90
+
+      - name: Open PR with price updates
+        if: steps.refresh.outputs.changed == 'true'
+        env:
+          GITEA_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GITEA_SERVER: ${{ github.server_url }}
+          GITEA_REPO: ${{ github.repository }}
+        run: |
+          DATE=$(date -u +%Y-%m-%d)
+          BRANCH="automation/sku-refresh-${DATE}-run${{ github.run_number }}"
+
+          git config user.name "sku-refresh-bot"
+          git config user.email "sku-refresh@automation.local"
+          git checkout -b "$BRANCH"
+          git add kb/pricing/oci-sku-catalog.yaml
+          git commit -m "chore(pricing): monthly SKU catalog refresh (${DATE})
+
+          Automated refresh from Oracle public pricing API.
+          See workflow artifact 'sku-refresh-logs' for the diff."
+
+          # Push using token auth
+          REMOTE=$(echo "$GITEA_SERVER/$GITEA_REPO.git" \
+            | sed "s#https://#https://sku-refresh-bot:${GITEA_TOKEN}@#")
+          git push "$REMOTE" "$BRANCH"
+
+          # Open PR via Gitea API (fail-fast + log response)
+          OWNER=$(echo "$GITEA_REPO" | cut -d/ -f1)
+          REPO=$(echo "$GITEA_REPO" | cut -d/ -f2)
+          PAYLOAD=$(jq -n \
+            --arg title "chore(pricing): monthly SKU refresh ${DATE}" \
+            --arg head "$BRANCH" \
+            --arg base "main" \
+            --arg body "$(printf 'Automated refresh — see run artifact for full refresh/discover logs.\n\n```\n%s\n```' \
+              "$(tail -40 /tmp/refresh.log)")" \
+            '{title:$title, head:$head, base:$base, body:$body}')
+          echo "Creating PR ${BRANCH} -> main ..."
+          RESPONSE=$(curl -sS -w "\nHTTP_STATUS=%{http_code}\n" -X POST \
+            -H "Authorization: token ${GITEA_TOKEN}" \
+            -H "Content-Type: application/json" \
+            "${GITEA_SERVER}/api/v1/repos/${OWNER}/${REPO}/pulls" \
+            -d "$PAYLOAD")
+          echo "$RESPONSE"
+          STATUS=$(echo "$RESPONSE" | grep -oE 'HTTP_STATUS=[0-9]+' | cut -d= -f2)
+          if [ "$STATUS" != "201" ]; then
+            echo "::error::PR creation failed with HTTP $STATUS"
+            exit 1
+          fi
+
+      - name: Open issue for new SKUs
+        if: steps.discover.outputs.new_count != '0'
+        env:
+          GITEA_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GITEA_SERVER: ${{ github.server_url }}
+          GITEA_REPO: ${{ github.repository }}
+          NEW_COUNT: ${{ steps.discover.outputs.new_count }}
+        run: |
+          DATE=$(date -u +%Y-%m-%d)
+          OWNER=$(echo "$GITEA_REPO" | cut -d/ -f1)
+          REPO=$(echo "$GITEA_REPO" | cut -d/ -f2)
+
+          BODY=$(printf '## %s new SKUs detected in Oracle API\n\n**Detected:** %s\n\nThese SKUs are present in the Oracle public pricing API but not yet in `kb/pricing/oci-sku-catalog.yaml`. Filter: serviceCategory values already represented in our catalog (so only relevant families show up).\n\n### Full listing\n\n```\n%s\n```\n\n### Next step\n\nReview and add relevant entries to `kb/pricing/oci-sku-catalog.yaml` under the appropriate category block. After merging, prices will be picked up automatically on the next monthly refresh.\n' \
+            "$NEW_COUNT" "$DATE" "$(cat /tmp/discover.log)")
+
+          PAYLOAD=$(jq -n \
+            --arg title "SKU catalog: ${NEW_COUNT} new SKUs to review (${DATE})" \
+            --arg body "$BODY" \
+            '{title:$title, body:$body}')
+          echo "Creating issue: ${NEW_COUNT} new SKUs..."
+          RESPONSE=$(curl -sS -w "\nHTTP_STATUS=%{http_code}\n" -X POST \
+            -H "Authorization: token ${GITEA_TOKEN}" \
+            -H "Content-Type: application/json" \
+            "${GITEA_SERVER}/api/v1/repos/${OWNER}/${REPO}/issues" \
+            -d "$PAYLOAD")
+          echo "$RESPONSE"
+          STATUS=$(echo "$RESPONSE" | grep -oE 'HTTP_STATUS=[0-9]+' | cut -d= -f2)
+          if [ "$STATUS" != "201" ]; then
+            echo "::error::Issue creation failed with HTTP $STATUS"
+            exit 1
+          fi
+
+      - name: Summary
+        if: always()
+        run: |
+          echo "## SKU Refresh Summary" >> $GITHUB_STEP_SUMMARY
+          echo "- Catalog changed: ${{ steps.refresh.outputs.changed }}" >> $GITHUB_STEP_SUMMARY
+          echo "- New SKUs discovered: ${{ steps.discover.outputs.new_count }}" >> $GITHUB_STEP_SUMMARY

.githooks/pre-commit

@@ -0,0 +1,83 @@
+#!/usr/bin/env bash
+# Pre-commit hook: keep .agents/skills/oci-deal-accelerator/SKILL.md
+# byte-aligned with the root SKILL.md (the source of truth that
+# CLAUDE.md / Claude Code reads). The Codex copy under .agents/
+# follows the same content with an auto-generated banner — they MUST
+# stay in lock-step or Claude Code and Codex will give the user
+# different instructions.
+#
+# Behavior:
+#   1. Only the .agents/ copy staged (no root SKILL.md change):
+#      REJECT — the .agents/ file is auto-generated, edits MUST land
+#      in root SKILL.md. Otherwise the next sync silently destroys
+#      the change.
+#   2. Root SKILL.md staged: auto-run scripts/sync-skill.py and
+#      stage the regenerated .agents/ copy in the same commit.
+#   3. Neither: nothing to do.
+#   • If the script can't run (no python, etc.), abort with a clear
+#     message rather than committing a desync silently.
+#
+# Install once per clone:   make install-hooks   (sets core.hooksPath)
+
+set -euo pipefail
+
+ROOT="$(git rev-parse --show-toplevel)"
+SOURCE="SKILL.md"
+TARGET=".agents/skills/oci-deal-accelerator/SKILL.md"
+SCRIPT="scripts/sync-skill.py"
+
+STAGED="$(git diff --cached --name-only)"
+SOURCE_STAGED=0
+TARGET_STAGED=0
+echo "$STAGED" | grep -qx "$SOURCE" && SOURCE_STAGED=1 || true
+echo "$STAGED" | grep -qx "$TARGET" && TARGET_STAGED=1 || true
+
+# Case 1: only the auto-generated .agents/ copy is staged. Reject —
+# the source of truth is root SKILL.md and a future sync will
+# silently overwrite this change.
+if [ "$TARGET_STAGED" = "1" ] && [ "$SOURCE_STAGED" = "0" ]; then
+    echo "" >&2
+    echo "pre-commit: REJECTED — you staged $TARGET in isolation." >&2
+    echo "  This file is auto-generated from $SOURCE and the next" >&2
+    echo "  ``make sync-skill`` (or this pre-commit hook firing on a" >&2
+    echo "  later commit) will overwrite your changes silently." >&2
+    echo "" >&2
+    echo "  Workflow:" >&2
+    echo "    1. Move your edits into $SOURCE." >&2
+    echo "    2. ``git restore --staged --worktree $TARGET``" >&2
+    echo "    3. ``git add $SOURCE`` and re-commit — the hook will" >&2
+    echo "       regenerate the .agents/ copy automatically." >&2
+    echo "" >&2
+    exit 1
+fi
+
+# Nothing else to do unless root SKILL.md changed.
+if [ "$SOURCE_STAGED" = "0" ]; then
+    exit 0
+fi
+
+if [ ! -f "$ROOT/$SCRIPT" ]; then
+    echo "pre-commit: $SCRIPT missing — cannot verify SKILL.md sync. Aborting." >&2
+    exit 1
+fi
+
+PYTHON="$(command -v python3 || command -v python || true)"
+if [ -z "$PYTHON" ]; then
+    echo "pre-commit: no python found in PATH — cannot run $SCRIPT. Aborting." >&2
+    exit 1
+fi
+
+# Run the full sync, then stage the regenerated target so it travels
+# in the same commit. (Idempotent — if it was already in sync, the
+# file write is a no-op.)
+"$PYTHON" "$ROOT/$SCRIPT" >&2
+git add "$ROOT/$TARGET"
+
+# Final check — if for any reason the result still drifts, fail loud.
+if ! "$PYTHON" "$ROOT/$SCRIPT" --check >/dev/null 2>&1; then
+    echo "pre-commit: SKILL.md and $TARGET are still out of sync after auto-run." >&2
+    echo "             Investigate scripts/sync-skill.py before committing." >&2
+    exit 1
+fi
+
+exit 0

.gitignore

@@ -1,9 +1,11 @@
+.venv/
 __pycache__/
 *.pyc
 *.pyo
 output/
 *.pptx
-!examples/sample-output/*.pptx
+!templates/Oracle_PPT-template_FY26.pptx
+!kb/diagram/assets/OCI_Icons.pptx
 
 # OCI Toolkit binary (download from Oracle, don't commit)
 kb/diagram/OCI Library.xml
@@ -11,23 +13,10 @@ kb/diagram/OCI Library.xml
 # Build prompt (internal)
 COMPLETE-BUILD-PROMPT.md
 
-# Client-specific examples (never commit customer data)
+# Ignore all examples content
-examples/farma-sa-*
+examples/
 
-# Skill-generated output folders (customer-specific, never commit)
+# Workspace / sandbox artifacts (never committed)
-examples/output-*/
+tmp/
-
+.claude/scheduled_tasks.lock
-# Exported screenshots (temporary)
+.claude/worktrees/
-examples/*.png
-
-# Exported ppts
-examples/*.ppts
-
-# Exported diagrams
-examples/*.drawio
-
-# Exported YAML files
-examples/*.yaml
-
-# Exported PDFfiles
-examples/*.pdf

AGENTS.md

@@ -85,32 +85,39 @@ DEFINE (Ideate → Validate → Plan)  →  DESIGN (Current → Future → Confi
 
 Phase details in `docs/` — skill references them via progressive disclosure.
 
+## Environment Setup (MANDATORY before running tools)
+
+```bash
+make venv && source .venv/bin/activate
+```
+
+The Makefile auto-detects the best available Python (3.12 > 3.11 > 3.10 > python3).
+**Always use `make <target>` to run tools.** For custom specs, activate the venv first.
+
+### Codex sandbox note
+
+This project ships `.codex/config.toml` which enables `network_access = true`
+for the workspace-write sandbox. This is required so `make venv` can reach
+PyPI. If you see `No matching distribution found for pyyaml`, the config file
+is missing or Codex is ignoring it — re-open the project from its root so
+Codex loads `.codex/config.toml`.
+
 ## Running Tools
 
 ```bash
-# Generate slide deck (default output)
+# Standard targets (recommended)
+make deck                    # slide deck with sample spec
+make diagram                 # architecture diagram
+make full                    # all outputs (pptx + drawio + docx + xlsx + pdf)
+make validate                # WA validation
+make lint                    # check YAML syntax
+make venv                    # create/update virtual environment
+
+# Custom specs (activate venv first)
 python tools/oci_deck_gen.py --spec examples/proposal-spec.yaml --output proposal.pptx
-
-# Generate customer-facing PDF (branded, no internal KB refs)
 python tools/oci_pdf_gen.py --spec examples/proposal-spec.yaml --output proposal.pdf
-
-# Generate diagram
 python tools/oci_diagram_gen.py --spec examples/diagram-spec.yaml --output arch.drawio
-
-# Run WA validation
-python scripts/validate-architecture.py \
-  --profile examples/sample-workload-profile.yaml \
-  --architecture examples/sample-architecture.yaml \
-  --output scorecard.yaml
-
-# Output orchestrator (multiple formats at once)
 python tools/oci_output.py --spec examples/proposal-spec.yaml --format full --output-dir output/
-
-# Build automation
-make help           # show all commands
-make full           # generate all outputs
-make validate       # run WA validation
-make lint           # check YAML syntax
 ```
 
 ## Output Formats
@@ -150,6 +157,32 @@ If a task generates YAML without the corresponding readable output, the task is
 - **Readable outputs** — YAML is backing data, never the deliverable
 - **No hallucinated architecture** — NEVER add services/components/regions the user didn't mention. When remediating WA gaps, apply minimum targeted fixes to the existing architecture; don't replace it with a generic "ideal" one. ASK before adding new services.
 
+## Git Remotes (Gitea = source of truth, GitHub = mirror)
+
+`origin` is configured with **one fetch URL (Gitea) and two push URLs (Gitea + GitHub)**, so a single `git push origin main` updates both. Gitea is authoritative; GitHub is a public mirror.
+
+```
+fetch  → git.tech-lad.com.br/diegoecab/oci-deal-accelerator.git
+push   → git.tech-lad.com.br/diegoecab/oci-deal-accelerator.git
+push   → github.com/Diegoecab/oci-deal-accelerator.git
+```
+
+**Recreating this on a new clone** (the dual-push lives in `.git/config`, not tracked):
+
+```bash
+git remote set-url --add --push origin https://github.com/Diegoecab/oci-deal-accelerator.git
+git remote set-url --add --push origin https://git.tech-lad.com.br/diegoecab/oci-deal-accelerator.git
+git remote -v   # confirm one fetch + two push URLs
+```
+
+The first command substitutes the implicit Gitea push URL with GitHub's; the second re-adds Gitea so origin pushes to BOTH. Counter-intuitive but necessary.
+
+**Agent guidance**:
+- After creating a commit on `main`, **always propose `git push origin main`** (not separate pushes per remote) — it covers both. Confirm with the user before pushing (pushing is shared-state).
+- If a push fails on GitHub but succeeds on Gitea (or vice versa), the dual-push is partial. Re-run after fixing the failing one — Gitea's second push will be a no-op fast-forward.
+- Never force-push Gitea unless explicitly asked; force-pushing GitHub is acceptable when needed because GitHub is downstream.
+- If history diverges between Gitea and GitHub (e.g. after a rebase), the recovery pattern is: temporarily strip the GitHub URL (`git remote set-url --delete --push origin <github-url>`), push Gitea fast-forward, add `github` as a standalone remote, force-push, then restore the dual-push.
+
 ## Welcome Flow
 
 When the user starts a conversation without providing discovery notes or a specific request (e.g., a greeting or empty context), present the welcome message and capability menu defined in the skill's SKILL.md § Welcome Flow. Specifically:

CLAUDE.md

@@ -37,7 +37,9 @@ AI skill aligned with Oracle ECAL framework (Define → Design → Deliver) that
 │   │   ├── networking-basic.yaml
 │   │   └── (dirs: database-ha/, database-dr/, networking-hub-spoke/, etc.)
 │   ├── sizing/                 # CPU conversion ratios, IOPS, scaling rules
-│   ├── pricing/                # Simplified pricing for estimation
+│   ├── pricing/                # Auto-refreshed from Oracle public pricing API
+│   │   ├── oci-sku-catalog.yaml  # 200+ OCI SKUs across 20 categories (BOM source of truth)
+│   │   └── compute.yaml          # Shape-level estimation pricing
 │   ├── competitive/            # AWS/Azure/GCP service mapping
 │   ├── well-architected/       # 5-pillar WA Framework checklists
 │   ├── compatibility/          # Feature matrices (ADB, etc.)
@@ -47,7 +49,9 @@ AI skill aligned with Oracle ECAL framework (Define → Design → Deliver) that
 │   ├── oci_deck_gen.py         # .pptx slide deck generator (DEFAULT output)
 │   ├── oci_pdf_gen.py          # .pdf customer-facing document (branded, no internal refs)
 │   ├── oci_diagram_gen.py      # .drawio diagram generator
+│   ├── oci_bom_gen.py          # .xlsx Bill of Materials generator (SA tool)
 │   ├── oci_output.py           # Output orchestrator
+│   ├── refresh_sku_catalog.py  # SKU catalog refresh from Oracle pricing API
 │   └── refresh_arch_catalog.py # Architecture Center catalog refresh tool
 ├── scripts/                    # Validation and utilities
 │   └── validate-architecture.py # WA validation engine
@@ -72,7 +76,8 @@ AI skill aligned with Oracle ECAL framework (Define → Design → Deliver) that
 │   ├── handover-document.yaml  # DELIVER: Implementation handover
 │   ├── go-live-checklist.yaml  # DELIVER: Pre-cutover verification
 │   ├── success-criteria.yaml   # DELIVER: Post go-live metrics
-│   └── lessons-learned.yaml    # DELIVER: Engagement retrospective
+│   ├── lessons-learned.yaml    # DELIVER: Engagement retrospective
+│   └── bom-spec.yaml          # SA TOOL: BOM input spec template
 ├── codex/                      # Codex setup guide (README only)
 └── examples/                   # Example specs and generated outputs
 ```
@@ -105,38 +110,44 @@ doc only          ← technical doc without slides
 deliver           ← handover + go-live checklist + success criteria
 ```
 
-## Running Tools
+## Environment Setup
+
+Before running ANY Python tool, ensure dependencies are installed:
 
 ```bash
-# Generate slide deck (default output)
+make venv && source .venv/bin/activate
+```
+
+The Makefile auto-detects the best available Python (3.12 > 3.11 > 3.10 > python3).
+**Always use `make <target>` to run tools** — this guarantees the correct Python with all dependencies.
+
+## Running Tools
+
+Prefer `make` targets. For custom specs, activate the venv first (`source .venv/bin/activate`), then use `python`:
+
+```bash
+# Standard targets (recommended)
+make deck                    # slide deck with sample spec
+make diagram                 # architecture diagram
+make full                    # all outputs (pptx + drawio + docx + xlsx + pdf)
+make validate                # WA validation
+make lint                    # check YAML syntax
+make venv                    # create/update virtual environment
+make freshness               # check KB freshness
+
+# Custom specs (activate venv first)
 python tools/oci_deck_gen.py --spec examples/proposal-spec.yaml --output proposal.pptx
-
-# Generate customer-facing PDF (branded, no internal KB refs)
 python tools/oci_pdf_gen.py --spec examples/proposal-spec.yaml --output proposal.pdf
-python tools/oci_pdf_gen.py --spec examples/proposal-spec.yaml --output proposal.pdf --diagram arch.png
+python tools/oci_bom_gen.py --spec examples/bom-spec.yaml --output customer-bom.xlsx
-
-# Generate diagram
 python tools/oci_diagram_gen.py --spec examples/diagram-spec.yaml --output arch.drawio
-
-# Run WA validation
-python scripts/validate-architecture.py \
-  --profile examples/sample-workload-profile.yaml \
-  --architecture examples/sample-architecture.yaml \
-  --output scorecard.yaml
-
-# Output orchestrator (multiple formats at once)
 python tools/oci_output.py --spec examples/proposal-spec.yaml --format full --output-dir output/
 
-# Refresh Architecture Center catalog
+# KB maintenance (activate venv first)
-python tools/refresh_arch_catalog.py --whats-new      # crawl What's New pages
+python tools/refresh_sku_catalog.py --refresh          # update all prices
-python tools/refresh_arch_catalog.py --url <url>       # add single entry
+python tools/refresh_sku_catalog.py --refresh --diff   # update + show changes
+python tools/refresh_sku_catalog.py --validate         # check for stale prices
+python tools/refresh_arch_catalog.py --whats-new       # crawl What's New pages
 python tools/refresh_arch_catalog.py --validate        # validate catalog
-
-# Build automation
-make help           # show all commands
-make full           # generate all outputs
-make validate       # run WA validation
-make lint           # check YAML syntax
 ```
 
 ## Key Principles
@@ -148,12 +159,77 @@ make lint           # check YAML syntax
 - **KB is the moat** — field experience, not documentation regurgitation
 - **ECAL-aligned** — Define → Design → Deliver with iterative checkpoints
 
+## Git Remotes (Gitea = source of truth, GitHub = mirror)
+
+`origin` is configured with **one fetch URL (Gitea) and two push URLs (Gitea + GitHub)**, so a single `git push origin main` updates both. Gitea is authoritative; GitHub is a public mirror.
+
+```
+fetch  → git.tech-lad.com.br/diegoecab/oci-deal-accelerator.git
+push   → git.tech-lad.com.br/diegoecab/oci-deal-accelerator.git
+push   → github.com/Diegoecab/oci-deal-accelerator.git
+```
+
+**Recreating this on a new clone** (the dual-push lives in `.git/config`, not tracked):
+
+```bash
+git remote set-url --add --push origin https://github.com/Diegoecab/oci-deal-accelerator.git
+git remote set-url --add --push origin https://git.tech-lad.com.br/diegoecab/oci-deal-accelerator.git
+git remote -v   # confirm one fetch + two push URLs
+```
+
+The first command substitutes the implicit Gitea push URL with GitHub's; the second re-adds Gitea so origin pushes to BOTH. Counter-intuitive but necessary.
+
+**Agent guidance**:
+- After creating a commit on `main`, **always propose `git push origin main`** (not separate pushes per remote) — it covers both. Confirm with the user before pushing (pushing is shared-state).
+- If a push fails on GitHub but succeeds on Gitea (or vice versa), the dual-push is partial. Re-run after fixing the failing one — Gitea's second push will be a no-op fast-forward.
+- Never force-push Gitea unless explicitly asked; force-pushing GitHub is acceptable when needed because GitHub is downstream.
+- If history diverges between Gitea and GitHub (e.g. after a rebase), the recovery pattern is: temporarily strip the GitHub URL (`git remote set-url --delete --push origin <github-url>`), push Gitea fast-forward, add `github` as a standalone remote, force-push, then restore the dual-push.
+
+## Coding Guidelines
+
+### 1. Think Before Coding
+Don't assume. Don't hide confusion. Surface tradeoffs.
+- State your assumptions explicitly. If uncertain, ask.
+- If multiple interpretations exist, present them — don't pick silently.
+- If a simpler approach exists, say so. Push back when warranted.
+- If something is unclear, stop. Name what's confusing. Ask.
+
+### 2. Simplicity First
+Minimum code that solves the problem. Nothing speculative.
+- No features beyond what was asked.
+- No abstractions for single-use code.
+- No "flexibility" or "configurability" that wasn't requested.
+- No error handling for impossible scenarios.
+- If you write 200 lines and it could be 50, rewrite it.
+
+### 3. Surgical Changes
+Touch only what you must. Clean up only your own mess.
+- Don't "improve" adjacent code, comments, or formatting.
+- Don't refactor things that aren't broken.
+- Match existing style, even if you'd do it differently.
+- If you notice unrelated dead code, mention it — don't delete it.
+- Remove imports/variables/functions that YOUR changes made unused.
+- Every changed line should trace directly to the user's request.
+
+### 4. Goal-Driven Execution
+Define success criteria. Loop until verified.
+- "Add validation" → write tests for invalid inputs, then make them pass.
+- "Fix the bug" → write a test that reproduces it, then make it pass.
+- "Refactor X" → ensure tests pass before and after.
+- For multi-step tasks, state a brief plan with verification steps.
+
 ## Welcome Flow
 
-When the user starts a conversation without providing discovery notes or a specific request (e.g., a greeting like "hola", "hey", or empty context), present the welcome message and capability menu defined in `SKILL.md` § Welcome Flow. Specifically:
+When the user starts a conversation without providing discovery notes or a specific request (e.g., a greeting like "hola", "hey", or empty context):
 
-1. Show the welcome banner and numbered capability menu from SKILL.md
+**MANDATORY:** Use the `Read` tool to open `SKILL.md` and read the entire `## Welcome Flow` section **before** showing anything to the user. Reproduce the welcome banner and the 14-option capability menu **verbatim** from that file. Do NOT paraphrase, reorder, summarize, translate, or reconstruct the menu from memory, folder structure, or prior conversations. If `SKILL.md` cannot be read for any reason, tell the user instead of improvising a menu.
-2. Follow the behavior rules for each option (1-10)
+
-3. After completing any task, offer the next-step menu (A-E)
+**Pre-flight check (also defined in SKILL.md):** Before showing the welcome message, run `make kb-check 2>/dev/null`. If `stale_count > 0`, follow the banner-and-prompt logic in SKILL.md § Welcome Flow → Pre-flight. If the tool errors, silently skip the banner — never block the user.
+
+Then:
+
+1. Show the welcome banner and numbered capability menu exactly as defined in SKILL.md (14 options across DESIGN & PROPOSE, VALIDATE & CHECK, STRATEGY & BUSINESS, KNOWLEDGE BASE, ECAL GOVERNANCE, SA TOOLS)
+2. Follow the behavior rules in SKILL.md for each option (1-14)
+3. After completing any task, offer the next-step menu (A-E) as defined in SKILL.md
 4. If the user sends discovery notes directly, skip the menu and go straight to full proposal flow
 5. If the user asks a specific question, skip the menu and answer directly

Makefile

@@ -1,8 +1,15 @@
 # OCI Deal Accelerator — Build Automation
 
-.PHONY: help install test validate example diagram deck full clean lint codex-package update-icons
+.PHONY: help install test validate example diagram deck full clean lint codex-package update-icons freshness freshness-refresh sync-skill sku-discover pptx-icons-refresh archcenter-benchmark-20 diagram-lookup diagram-validate-spec archcenter-descriptions-refresh diagram-spec-audit archcenter-smoke install-hooks archcenter-templates-refresh
 
-PYTHON ?= python3.12
+# Use venv if present, otherwise find best available python3
+ifneq (,$(wildcard .venv/bin/python))
+  PYTHON ?= .venv/bin/python
+else ifneq (,$(shell command -v python3.12 2>/dev/null))
+  PYTHON ?= python3.12
+else
+  PYTHON ?= python3
+endif
 SPEC_DIR = examples
 OUTPUT_DIR = examples/sample-output
 
@@ -10,7 +17,34 @@ help: ## Show this help
 	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | \
 		awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-20s\033[0m %s\n", $$1, $$2}'
 
-install: ## Install Python dependencies
+VENV_PYTHON := $(shell command -v python3.12 2>/dev/null || command -v python3.11 2>/dev/null || command -v python3.10 2>/dev/null || echo python3)
+
+venv: .venv/.deps-installed ## Create or update venv (idempotent — no-op if requirements.txt unchanged)
+
+# Marker file pattern: the venv only rebuilds when requirements.txt is
+# newer than the marker. A fresh `make venv` after a successful install
+# is an instant no-op (was 1m53s on Codex sandboxes — every turn).
+# To force a rebuild: `rm .venv/.deps-installed` (or `rm -rf .venv`).
+.venv/.deps-installed: requirements.txt
+	@if [ ! -x .venv/bin/python ]; then \
+	  echo "Using $(VENV_PYTHON) to create venv..."; \
+	  $(VENV_PYTHON) -m venv .venv; \
+	fi
+	.venv/bin/pip install --upgrade pip
+	.venv/bin/pip install -r requirements.txt
+	@touch .venv/.deps-installed
+	@echo "Virtual environment ready. Run: source .venv/bin/activate"
+	@echo "Tip: run 'make install-hooks' once to enable the pre-commit"
+	@echo "     hook that keeps SKILL.md in sync with the Codex copy."
+
+install-hooks: ## Install repo-versioned git hooks (pre-commit auto-syncs SKILL.md)
+	@if [ ! -d .git ]; then echo "install-hooks: not a git repo"; exit 1; fi
+	git config core.hooksPath .githooks
+	@echo "install-hooks: core.hooksPath set to .githooks"
+	@echo "  → pre-commit now auto-syncs .agents/skills/.../SKILL.md"
+	@echo "    whenever SKILL.md is part of the staged change set."
+
+install: ## Install Python dependencies (system-wide)
 	pip install -r requirements.txt
 
 validate: ## Validate imports and configs
@@ -56,14 +90,74 @@ update-icons: ## Re-extract OCI icons after updating OCI Library.xml
 	$(PYTHON) tools/oci_icon_extractor.py
 	@echo "Updated kb/diagram/oci-icons.json from OCI Library.xml"
 
+pptx-icons-refresh: ## Refresh bundled OCI_Icons.pptx asset + manifest/index for native PPTX diagrams
+	$(PYTHON) tools/refresh_pptx_icon_index.py
+	@echo "Updated kb/diagram/oci-pptx-icons-manifest.yaml and oci-pptx-icons-index.json"
+
+archcenter-benchmark-20: ## Run 20-case Oracle Architecture Center native benchmark
+	$(PYTHON) tools/oci_archcenter_batch.py \
+		--limit 20 \
+		--threshold 0.82 \
+		--fidelity-threshold 0.90 \
+		--output-root examples/eval-2026-04-25-archcenter-native-20-v8
+
+diagram-lookup: ## Find Architecture Center reference patterns. Usage: make diagram-lookup QUERY="mysql heatwave HA"
+	@if [ -z "$(QUERY)" ]; then echo "Usage: make diagram-lookup QUERY=\"<topology>\""; exit 1; fi
+	$(PYTHON) tools/archcenter_pattern_lookup.py "$(QUERY)" --top $${TOP:-5}
+
+diagram-validate-spec: ## Validate a diagram spec's geometry. Usage: make diagram-validate-spec SPEC=path/to/spec.yaml
+	@if [ -z "$(SPEC)" ]; then echo "Usage: make diagram-validate-spec SPEC=<path>"; exit 1; fi
+	$(PYTHON) tools/diagram_spec_validator.py --spec "$(SPEC)" --strict
+
+diagram-spec-audit: ## Run spec validator across every diagram-spec in examples/, print pass/fail summary
+	@echo "Auditing diagram specs under examples/..."
+	@total=0; failed=0; \
+	for f in $$(find examples -name 'diagram-spec.yaml' -o -name '*-diagram-spec.yaml'); do \
+	  total=$$((total+1)); \
+	  $(PYTHON) tools/diagram_spec_validator.py --spec "$$f" --strict >/dev/null 2>&1 || { \
+	    failed=$$((failed+1)); echo "  FAIL  $$f"; \
+	  }; \
+	done; \
+	echo "Audited $$total spec(s); $$failed failed."
+
+archcenter-descriptions-refresh: ## Re-fetch _description.md for every Architecture Center entry
+	$(PYTHON) tools/archcenter_description_fetcher.py --limit 200 --sleep 0.5
+
+archcenter-templates-refresh: ## Extract absolute_layout YAML scaffolds from every cached .drawio
+	$(PYTHON) tools/archcenter_drawio_to_template.py
+
+archcenter-smoke: ## 3-case Architecture Center reconstruction smoke test (CI-friendly)
+	$(PYTHON) tools/oci_archcenter_batch.py \
+		--limit 3 \
+		--threshold 0.78 \
+		--fidelity-threshold 0.85 \
+		--output-root tmp/archcenter-smoke
+
 clean: ## Remove generated output files
 	rm -f examples/sample-output/*.drawio
 	rm -f examples/sample-output/*.pptx
 	rm -f examples/sample-output/*.xlsx
 	rm -f examples/sample-output/*.docx
 
-lint: ## Check YAML files for syntax errors
+lint: ## Check YAML files for syntax errors and validate SKILL.md sync
 	@echo "Checking YAML files..."
 	@find kb/ config/ examples/ -name '*.yaml' -exec $(PYTHON) -c \
-		"import yaml, sys; yaml.safe_load(open(sys.argv[1]))" {} \; \
+		"import yaml, sys; list(yaml.safe_load_all(open(sys.argv[1])))" {} \; \
 		-print 2>&1 | grep -v "^$$" || echo "All YAML files valid."
+	@echo "Checking SKILL.md sync..."
+	@$(PYTHON) scripts/sync-skill.py --check
+
+sync-skill: ## Regenerate .agents/skills/oci-deal-accelerator/SKILL.md from root SKILL.md
+	@$(PYTHON) scripts/sync-skill.py
+
+freshness: ## Report stale KB files (informational, never fails)
+	-@$(PYTHON) tools/kb_freshness.py --check
+
+kb-check: ## KB freshness JSON (used by skill welcome-flow pre-flight)
+	@$(PYTHON) tools/kb_freshness.py --check --json
+
+freshness-refresh: ## Run refresh tools for stale KB files that support automation
+	@$(PYTHON) tools/kb_freshness.py --auto-refresh
+
+sku-discover: ## Report SKUs present in Oracle API but missing from oci-sku-catalog.yaml
+	@$(PYTHON) tools/refresh_sku_catalog.py --discover

README.md

@@ -11,9 +11,47 @@ What normally takes an SA days of work (structuring notes, designing architectur
 - **ECAL 3.1 native** — engagement RACI, artefact catalog, readiness scoring, and lessons learned per step baked into the workflow
 - **Field knowledge, beyond the docs** — built-in KB with real gotchas, workarounds, and sizing lessons from production OCI deployments
 - **Honest about trade-offs** — flags OCI limitations and competitive gaps instead of overselling
-- **Multi-cloud aware** — supports hybrid/multi-cloud diagrams (AWS, Azure, GCP icons) and considers options like ADB Multicloud before recommending full migration
+- **Multi-cloud aware** — supports hybrid/multi-cloud diagrams (AWS, Azure, GCP, plus external brand icons such as Slack and Jira) and considers options like ADB Multicloud before recommending full migration
+- **MCP-tolerant inputs** — deck, diagram, BOM, and business-case generators accept flat MCP payloads and common field aliases instead of requiring one rigid schema
 - **End-to-end coverage** — from discovery notes to go-live checklist, not just the architecture slide
 
+## New user? Start here
+
+The skill runs as a hosted MCP server. Connect once from your LLM client, sign in with Oracle SSO, and the tools are ready.
+
+Fastest path: open AI Factory Hub at `https://ai-lad.com/`, search for `OCI Deal Accelerator`, and install it from there. If you prefer manual setup, use the MCP client instructions below.
+
+**1. Add the MCP server to your client (manual setup):**
+
+| Client | How |
+|---|---|
+| **Claude Code** | `claude mcp add --transport http oci-deal-accelerator "https://mcp.tech-lad.com/deal-accelerator/mcp/"` |
+| **Codex** | `codex mcp add oci-deal-accelerator --url "https://mcp.tech-lad.com/deal-accelerator/mcp/"` |
+| **Cursor** | Settings (Ctrl+Shift+J) → MCP → Add new MCP server → Name: `oci-deal-accelerator`, Type: `streamable-http`, URL: `https://mcp.tech-lad.com/deal-accelerator/mcp/` |
+| **Claude Desktop** | Add to `claude_desktop_config.json`: `{ "mcpServers": { "oci-deal-accelerator": { "transport": "http", "url": "https://mcp.tech-lad.com/deal-accelerator/mcp/" } } }` |
+| **Windsurf** | Settings → Cascade → MCP → Manual config: `{ "oci-deal-accelerator": { "serverUrl": "https://mcp.tech-lad.com/deal-accelerator/sse/" } }` |
+
+**2. Trigger the connection** — type `/mcp` in Claude Code or Codex, or open any tool in Cursor / Claude Desktop / Windsurf. Your browser opens automatically.
+
+**3. Pick one of two options in the browser:**
+- **Sign in with Oracle SSO** — for existing users
+- **Create a new account** — for new users (see step 4)
+
+**4. New users — create an account** by clicking "Create a new account". This opens an OCI self-registration form (oracle.com emails only). Tips:
+- Use your full Oracle email as User ID (e.g. `name@oracle.com`)
+- Password must be 12+ chars, with an uppercase letter, a number, and a special character
+- Password must NOT contain your name or username
+
+**5. Verify your email**, then return to the browser and click **Sign in with Oracle SSO**.
+
+**6. Done.** The MCP tools are now available in your client.
+
+### Connection URLs
+
+- **AI Factory Hub:** `https://ai-lad.com/`
+- **MCP (HTTP streamable):** `https://mcp.tech-lad.com/deal-accelerator/mcp/`
+- **SSE (Windsurf only):** `https://mcp.tech-lad.com/deal-accelerator/sse/`
+
 ## What It Produces
 
 From unstructured input (meeting notes, emails, Slack threads), the skill generates:
@@ -27,10 +65,12 @@ From unstructured input (meeting notes, emails, Slack threads), the skill genera
 | **Business Case** — TCO, ROI, value drivers, risk assessment | .pptx | Define | Ideate |
 | **Joint Engagement Plan** — scope, resources, timeline | YAML | Define | Plan |
 | **Discovery Questionnaire** — structured IT landscape collection | YAML | Design | Current |
-| **Architecture Diagram** — official Oracle visual style, multi-cloud support | .drawio | Design | Future |
+| **Architecture Diagram** — Oracle reference-architecture geometry, multi-cloud + external brand support | .drawio / .pptx | Design | Future |
 | **Slide Deck** — 6-15 slides scaled to engagement complexity | .pptx | Design | Confirm |
 | **Customer PDF** — branded, no internal KB references | .pdf | Design | Confirm |
 | **Cost Estimate** — BYOL vs PAYG breakdown with assumptions | YAML | Design | Future |
+| **Bill of Materials (BOM)** — requested SKUs only, formula-driven totals, discount-aware workbook | .xlsx | Design | Future |
+| **AppCA-ready BOM** — AppCA import sheet plus full BOM workbook detail | .xlsx | Design | Future |
 | **Well-Architected Scorecard** — 5-pillar automated validation | YAML | Design | Future |
 | **Operations Model** — day-2 monitoring, patching, incident response | YAML | Design | Future |
 | **ECAL Readiness Scorecard** — 60-artefact gap analysis per phase | Text | All | All |
@@ -66,9 +106,40 @@ deck + pdf        ← + customer-facing PDF (branded, no internal refs)
 pdf               ← customer PDF only
 bizcase           ← business case deck for customer approval
 full              ← everything (pptx + drawio + docx + xlsx + pdf)
+bom               ← bill of materials (.xlsx)
 deliver           ← handover + go-live checklist + success criteria
 ```
 
+Standalone architecture diagrams can be generated as editable `.drawio` files or as native Oracle-style `.pptx` diagrams/slides, depending on the workflow you trigger.
+
+## Example Prompts
+
+These copy/paste prompts are good demo asks for the newest user-visible features, especially when using Codex or another MCP client.
+
+### Native PowerPoint diagram (.pptx)
+
+```text
+Generame un diagrama nativo en .pptx, simple y prolijo, de esta arquitectura: usuarios externos -> load balancer público -> 2 VMs de aplicación en subnet privada -> Autonomous Database Serverless. Quiero que quede presentable para mostrar directo en PowerPoint. No me pidas YAML ni setup adicional.
+```
+
+### Brand icons + OIC + dual output
+
+```text
+Generate a simple high-level integration diagram for this flow: Slack -> Oracle Integration Cloud (OIC) -> Jira Service Management -> My Oracle Support. Add clear Client, Oracle, and External layers. Use brand icons for Slack and Jira Service Management, and deliver both .drawio and .pptx.
+```
+
+### Real multicloud topology
+
+```text
+Generate a high-level architecture diagram for this scenario: 1 PostgreSQL in OCI Ashburn, accessed from GCP Virginia through interconnect. PostgreSQL connects internally to 1 Autonomous Database Serverless, which also has 1 refreshable clone in the same region but in a different AD. Deliver both .drawio and .pptx. Keep it simple, executive-friendly, and technically correct.
+```
+
+### Discount-aware BOM
+
+```text
+Gere um BOM em USD para este cenário: PostgreSQL no OCI com 4 OCPU e 500 GB, ADB-S com 200 ECPU e 1 TB BYOL, 1 refreshable clone com o mesmo sizing e FastConnect de 1 Gbps. Aplique 11% de desconto, 12 meses, 24 horas por dia. Quero o arquivo .xlsx e um resumo claro do custo mensal e anual.
+```
+
 ## Knowledge Base
 
 The KB is the moat — field experience, not documentation regurgitation.
@@ -86,31 +157,27 @@ Any SA can contribute knowledge to the skill. The KB lives in `kb/` as editable
 | **OCI service info** | `kb/services/<service>.yaml` | Create or edit the service YAML |
 | **Architecture pattern** | `kb/patterns/` | Add YAML following existing format |
 | **Architecture Center reference** | `kb/architecture-center/catalog.yaml` | `python tools/refresh_arch_catalog.py --url <url>` |
-| **Updated pricing** | `kb/pricing/<category>.yaml` | Edit with data from [OCI Price List](https://www.oracle.com/cloud/price-list/) |
+| **Updated pricing** | `kb/pricing/oci-sku-catalog.yaml` (SKUs) or `kb/pricing/compute.yaml` (shapes) | `python tools/refresh_sku_catalog.py --refresh` (SKUs) or `--refresh-domain compute` (shapes). Both auto-pull from the Oracle public pricing API. |
 | **Feature compatibility** | `kb/compatibility/adb-feature-matrix.yaml` | Edit the matrix, mark `verified_in_field: true` |
 | **Competitive comparison** | `kb/competitive/` | Add or edit YAML with real pros AND cons |
 
 **Fastest path**: if you hit something in an engagement that another SA should know about, use menu option 11 (Report a field finding) — the skill walks you through the format and adds it to the tracker automatically.
 
-### OCI Pricing (13 categories)
+### OCI Pricing
 
-Comprehensive pricing from the [OCI Price List](https://www.oracle.com/cloud/price-list/) covering compute, database, storage, networking, AI/ML, containers, integration, observability, developer, analytics, hybrid/VMware, and security services. Source date: 2025-09-11.
+All pricing is auto-refreshed from the [Oracle public pricing API](https://apexapps.oracle.com/pls/apex/cetools/api/v1/products/?currencyCode=USD). No manually maintained pricing files.
 
 ```
 kb/pricing/
-├── compute.yaml            # VMs, bare metal, GPU (B200/B300/H200/H100/A100/L40S)
+├── oci-sku-catalog.yaml    # 200+ SKUs across 20 categories — single source of truth
-├── database.yaml           # ADB (ECPU), DBCS, ExaCS, MySQL, PostgreSQL, NoSQL, Redis
+│                             Refresh: python tools/refresh_sku_catalog.py --refresh
-├── storage.yaml            # Block, object, file, data transfer
+└── compute.yaml            # Shape-level estimation pricing (VMs, BM, GPU)
-├── networking.yaml         # LB, NLB, FastConnect, DNS, egress
+                              Refresh: python tools/refresh_sku_catalog.py --refresh-domain compute
-├── ai-ml.yaml              # GenAI, Data Science, Vision, Speech, Digital Assistant
+
-├── containers-serverless.yaml  # OKE, Functions, Container Instances
+kb/field-knowledge/pricing-knowledge.yaml
-├── integration.yaml        # OIC, API Mgmt, Streaming, Queue, GoldenGate
+                            # Stable pricing context: billing models, BYOL rules,
-├── observability.yaml      # Monitoring, Logging, APM, DR, Email
+                              free tiers, service nuances, hyperscaler comparisons.
-├── developer.yaml          # APEX, Visual Builder, DevOps, Blockchain
+                              Non-numeric — no refresh needed.
-├── analytics.yaml          # OAC, Essbase, Big Data, Data Flow
-├── hybrid-vmware.yaml      # OCVS, Compute C@C, Managed Mac, Roving Edge
-├── security.yaml           # Access Governance, Vault, Cloud Guard
-└── pricing-models.yaml     # PAYG, UCM, Reserved, BYOL
 ```
 
 ### DBExpert Database Services Catalog
@@ -124,7 +191,13 @@ kb/services/dbexpert-api-reference.yaml  # API endpoints and refresh procedure
 
 ### Architecture Center Catalog
 
-**123 Oracle Architecture Center reference architectures** (`kb/architecture-center/catalog.yaml`) covering Database@Azure/AWS/Google Cloud, networking, security, AI/ML, migration, HA/DR, and more.
+**123 Oracle Architecture Center reference architectures** (`kb/architecture-center/catalog.yaml`) covering Database@Azure/AWS/Google Cloud, networking, security, AI/ML, migration, HA/DR, and more. Each entry includes title, URL, tags, services, and a 1-line summary; **121 also have a cached `_description.md`** with the full "About this architecture" text fetched from docs.oracle.com.
+
+Cached locally under `kb/diagram/assets/archcenter-refs/<slug>/`:
+- `_description.md` — Oracle's architecture rationale (used by both the lookup tool and SKILL.md option 10 "Reference architecture lookup")
+- `*.drawio` — official editable source for ~110 references (where Oracle ships a zip)
+- `_template.yaml` — extracted `absolute_layout` scaffold so new diagrams can start from Oracle geometry instead of from scratch
+- `*.svg` / `*.png` — raster fallback for the rest
 
 During **Phase 2 (DESIGN)**, the skill automatically matches the proposed architecture against the catalog:
 
@@ -135,6 +208,47 @@ During **Phase 2 (DESIGN)**, the skill automatically matches the proposed archit
 python tools/refresh_arch_catalog.py --whats-new      # crawl What's New pages
 python tools/refresh_arch_catalog.py --url <url>       # add a single entry
 python tools/refresh_arch_catalog.py --validate        # validate catalog integrity
+python tools/refresh_arch_catalog.py --check-links     # check for broken URLs (404s, redirects)
+
+# Topology lookup — base your diagram on the closest Oracle reference
+python tools/archcenter_pattern_lookup.py "mysql heatwave high availability load balancer"
+python tools/archcenter_pattern_lookup.py "fastconnect exacs cross region" --top 10
+
+# Re-fetch description text after a catalog refresh
+python tools/archcenter_description_fetcher.py --limit 200
+
+# Re-download cached drawio/svg/png assets after a catalog refresh
+python tools/archcenter_zip_downloader.py    # idempotent; skips slugs whose folder already has a .drawio
+```
+
+The cached assets under `kb/diagram/assets/archcenter-refs/` (~83MB) are committed so the skill works offline. Lookup uses a local index for near-instant matches, and can be rebuilt manually when needed. Refresh quarterly or when `refresh_arch_catalog.py --whats-new` adds entries — both downloader and description fetcher are idempotent and only fetch what's missing.
+
+### KB Health & Freshness
+
+The KB is automatically monitored for staleness and broken links:
+
+| Check | How | When |
+|---|---|---|
+| **Broken links** | `python tools/refresh_arch_catalog.py --check-links` | Weekly (CI), or on demand |
+| **Stale prices** | `python tools/refresh_sku_catalog.py --validate` | Weekly (CI), or on demand |
+| **KB freshness** | `python tools/kb_freshness.py --check` | On skill startup (pre-flight) |
+| **Diagram spec geometry** | `python tools/diagram_spec_validator.py --spec <spec.yaml>` | Auto, before every drawio/PPTX render |
+| **Diagram XML output** | `python tools/drawio_visual_validator.py <file.drawio>` | Auto, after `oci_diagram_gen.py` saves |
+
+**Automated CI/CD:**
+- **Deploy workflow** (`.gitea/workflows/deploy.yaml`) — auto-deploys to MCP server on every push to `main`
+- **KB health workflow** (`.gitea/workflows/kb-health.yaml`) — runs every Monday 8am UTC, checks all catalog URLs and SKU freshness, reports broken links as artifacts
+
+To run KB health manually:
+```bash
+# Check all 123 Architecture Center URLs for 404s
+python tools/refresh_arch_catalog.py --check-links
+
+# Fix broken links: re-crawl What's New for updated URLs
+python tools/refresh_arch_catalog.py --whats-new
+
+# Refresh stale pricing from Oracle API
+python tools/refresh_sku_catalog.py --refresh --diff
 ```
 
 ### Feature Compatibility Matrix
@@ -225,8 +339,11 @@ Option 8 in the menu generates a business case deck for customer internal approv
 | Cover | Dark - Title_Pillar | Customer name + subtitle |
 | Executive Summary | Impact Statement | Bold 1-sentence opportunity |
 | Business Drivers | Multi Statement | 3 key drivers: Why now |
-| TCO Comparison | Blank + Table | Current vs OCI (3-5 year) |
+| TCO Comparison | Blank + Table | Current/as-is run-rate vs target/to-be run-rate |
-| ROI Headline | Blank + Metric | Big number (e.g., "2080% ROI") |
+| BOM + Operations Breakdown | Blank + Tables | Cloud services, storage/infra, GoldenGate, operations, one-time bridge |
+| Forecasted TCO | Blank + Table | 24M/36M annual run-rate snapshots, not cumulative totals |
+| TCO Crossover | Native shapes | ADB-S vs ADB-D annual TCO and first cheaper period |
+| Business Value Model | Blank + Table | Financial baseline, architecture benefit, risk-adjusted value, KPIs |
 | Value Drivers | Blank + Cards | 4 categories: Cost, Risk, Agility, Innovation |
 | Risk Assessment | Blank + 2-Column | Migration risks vs Do-nothing risks |
 | Roadmap | Blank + Timeline | Implementation phases |
@@ -234,6 +351,12 @@ Option 8 in the menu generates a business case deck for customer internal approv
 
 Uses the **Oracle FY26 official PowerPoint template** with Redwood design system.
 
+For ADB-S to ADB-D cases, the generator keeps workload ECPU demand separate
+from ADB-D physical capacity. Dedicated footprint is modeled as fixed DB server
+and storage server infrastructure; projected BOMs are annual run-rate snapshots
+at the horizon. Risk-reduction value is converted to USD only when the customer
+provides business impact per degraded/outage hour.
+
 ```bash
 python tools/oci_bizcase_gen.py --spec business-case.yaml --output business-case.pptx
 ```
@@ -286,6 +409,8 @@ If you paste discovery notes directly, the skill skips the menu and goes straigh
 
 ## Tools
 
+All major generators accept either the canonical nested YAML specs or the flatter MCP payload aliases used by hosted clients.
+
 ```bash
 # Slide deck generation (technical proposal)
 python tools/oci_deck_gen.py --spec examples/proposal-spec.yaml --output proposal.pptx
@@ -297,15 +422,36 @@ python tools/oci_pdf_gen.py --spec examples/proposal-spec.yaml --output proposal
 # Business case deck
 python tools/oci_bizcase_gen.py --spec business-case.yaml --output business-case.pptx
 
-# Architecture diagram
+# Architecture diagram — see docs/skill/output-formats.md
-python tools/oci_diagram_gen.py --spec examples/diagram-spec.yaml --output arch.drawio
+# § "Standard diagram-generation procedure (MANDATORY)" for the full
+# workflow: ref-arch lookup → pre-generation review → spec authoring
+# → automatic spec validator → render → visual verification.
+# Supports OCI fallback aliases for services whose official toolkit icons
+# are still missing (for example PostgreSQL/Redis) plus `brand_icon` for
+# third-party systems such as Slack and Jira in both drawio and PPTX.
+python tools/archcenter_pattern_lookup.py "<topology keywords>"   # 1. find canonical Oracle reference
+python tools/oci_diagram_gen.py --spec examples/diagram-spec.yaml --output arch.drawio  # 2. render (validators run automatically)
+python tools/oci_pptx_render.py --pptx arch.pptx --output arch.png --width 1600         # 3. rasterize PPTX for visual review
+
+# Pre-render geometry validator (auto-invoked by both renderers; CLI for ad-hoc spec checks)
+python tools/diagram_spec_validator.py --spec examples/diagram-spec.yaml --strict
+
+# Post-render XML validator (auto-invoked inside OCIDiagramGenerator.save())
+python tools/drawio_visual_validator.py arch.drawio
 
 # Output orchestrator (multiple formats at once)
 python tools/oci_output.py --spec examples/proposal-spec.yaml --format full --output-dir output/
+python tools/oci_output.py --spec examples/exacs-bom-spec.yaml --format bom --output-dir output/
+
+# BOM / AppCA workbook
+python tools/oci_bom_gen.py --spec examples/exacs-bom-spec.yaml --output customer-bom.xlsx
+python tools/oci_bom_gen.py --spec examples/exacs-bom-spec.yaml --output customer-appca.xlsx --appca
 
 # Architecture Center catalog
 python tools/refresh_arch_catalog.py --validate
 python tools/refresh_arch_catalog.py --whats-new
+python tools/refresh_arch_catalog.py --check-links
+python tools/archcenter_pattern_lookup.py "adb gcp fastconnect" --rebuild-index
 
 # Feature compatibility
 python tools/feature_matrix_cli.py check "Auto Scaling" adb_s 23ai
@@ -364,6 +510,28 @@ For temporary overrides (e.g., focusing on a specific customer), create `AGENTS.
 
 Full setup details: [`codex/README.md`](codex/README.md)
 
+#### Keeping the Claude and Codex skills in sync
+
+The root `SKILL.md` (read by Claude Code) and `.agents/skills/oci-deal-accelerator/SKILL.md` (read by Codex) MUST stay byte-aligned modulo an auto-generated banner. If they drift, the two agents give the user different instructions.
+
+Three layers of defense, run from least to most enforcement:
+
+1. **Local pre-commit hook (recommended once per clone):**
+   ```bash
+   make install-hooks
+   ```
+   Sets `core.hooksPath = .githooks`. From then on, any commit that touches `SKILL.md` auto-runs `scripts/sync-skill.py` and stages the regenerated `.agents/` copy in the same commit. No manual step required.
+
+2. **Manual sync (anytime):**
+   ```bash
+   make sync-skill          # write the .agents/ copy from SKILL.md
+   make lint                # check (also runs sync --check)
+   ```
+
+3. **CI gate (`.gitea/workflows/skill-sync.yaml`):** every push/PR runs `python scripts/sync-skill.py --check` and fails the build if the two files have drifted. Catches anyone who skipped the hook.
+
+**Direction is always root → `.agents/`.** The `.agents/` copy is auto-generated; do NOT edit it directly — the next sync will silently overwrite your changes. Both the local pre-commit hook and the CI gate REJECT a commit/PR that stages `.agents/skills/oci-deal-accelerator/SKILL.md` without a matching root `SKILL.md` change. If you find yourself wanting to tweak the Codex side specifically, that signal belongs in `AGENTS.md` (Codex-only project instructions) — `SKILL.md` content stays unified across both agents.
+
 ## Roadmap
 
 ### ECAL Completeness (see `docs/ecal-gaps-backlog.md` for full list)

SKILL.md

@@ -1,5 +1,5 @@
 ---
-name: OCI Deal Accelerator
+name: oci-deal-accelerator
 description: Compresses the OCI Solutions Architect's cycle from customer discovery to architecture proposal and delivery handover. Aligned with Oracle ECAL framework (Define, Design, Deliver). Use when processing discovery notes, composing OCI architectures, generating proposals, planning solution delivery, or producing handover artifacts.
 ---
 
@@ -15,6 +15,55 @@ You follow the **Oracle ECAL framework** (Define → Design → Deliver) to prod
 
 When the user starts a conversation without providing discovery notes or a specific request, present the welcome message and capability menu.
 
+### Pre-flight checks
+
+Run these checks silently **before** showing the welcome message. **CRITICAL:** Never show command execution, tool output, or errors to the user. If any check fails, silently skip it and proceed to the welcome message. These checks are informational — they NEVER block the user.
+
+#### Check 1: KB changelog banner
+
+Read the file `kb/CHANGELOG.md` and extract the **most recent date and first bullet point**. If the file exists and has entries, prepend a one-line banner above the welcome message:
+
+```
+📢 KB updated (<date>): <first bullet summary>
+```
+
+Example: `📢 KB updated (Apr 14): Diagram generator calibrated from 37 Oracle ref architectures`
+
+If the file is missing or empty, skip — no banner.
+
+#### Check 2: Local repo updates (git users only)
+
+Run `git fetch --dry-run origin main 2>/dev/null`. If the output contains any text (meaning there are remote commits not yet pulled), prepend this banner:
+
+```
+📢 KB updates available — run `git pull` to get latest prices and fixes.
+```
+
+If the command fails (not a git repo, no network, MCP deployment), silently skip. This check is only relevant for users running the skill from a local git clone.
+
+#### Check 3: KB freshness
+
+Run `make kb-check 2>/dev/null` and parse the JSON output. Behavior:
+
+- **`stale_count == 0`** → no banner.
+- **`stale_count > 0` and at least one file has `refreshable: true`** → prepend banner and ask inline:
+
+  ```
+  ⚠️  KB freshness: <N> file(s) outdated (oldest: <file> — <age_days>d).
+      <M> can be auto-refreshed. Refresh now? [y/N]
+  ```
+
+  - `y` / `yes` / `sí` → run `make freshness-refresh`, then show menu.
+  - Anything else → show menu with one-line reminder: `⚠️ <N> KB file(s) stale — run make freshness-refresh later.`
+
+- **`stale_count > 0` but no `refreshable: true`** → non-blocking info banner, then show menu directly:
+
+  ```
+  ⚠️  KB freshness: <N> file(s) need manual review (oldest: <file> — <age_days>d).
+  ```
+
+If `make kb-check` errors out (exit ≠ 0, missing make, missing Python, missing tool), **silently skip** — no error output, no banner, no mention of failure.
+
 ### Welcome Message
 
 ```
@@ -34,10 +83,10 @@ Present these options as a compact numbered list. Each option has a bold title f
 ```
  DESIGN & PROPOSE
  ─────────────────
- 1. 📋 Full proposal — *notes → architecture + deck + diagram + costs*
+ 1. 📋 Full proposal — *notes → architecture + deck + native PPTX diagram + costs*
- 2. 📐 Architecture diagram — *YAML or description → .drawio*
+ 2. 📐 Architecture diagram — *description/sketch → .excalidraw → .drawio or native PPTX*
- 3. 📊 Slide deck — *architecture → .pptx*
+ 3. 📊 Slide deck — *architecture → .pptx with native OCI diagram*
- 4. 💰 Cost estimate — *services + sizing → PAYG vs BYOL*
+ 4. 💰 Cost estimate — *quick PAYG/BYOL comparison while you scope (terminal + optional deck)*
 
  VALIDATE & CHECK
  ─────────────────
@@ -59,16 +108,80 @@ Present these options as a compact numbered list. Each option has a bold title f
  ─────────────────
  12. 📊 ECAL readiness score — *60-artefact gap analysis*
 
+ SA TOOLS
+ ─────────────────
+ 13. 📦 BOM generator — *formal .xlsx artefact you send to the customer*
+ 14. 📤 BOM for AppCA — *BOM → .xlsx ready to import into AppCA*
+
 ━━━━━━━━━━━━━━━━━━━━━━━
 Pick a number, or just describe what you need.
 ```
 
+### Example Direct Requests
+
+If the user asks for examples, or skips the menu and writes a natural-language request, prompts like these map directly to the capabilities above:
+
+- `Generame un diagrama nativo en .pptx, simple y prolijo, de esta arquitectura: usuarios externos -> load balancer público -> 2 VMs de aplicación en subnet privada -> Autonomous Database Serverless. Quiero que quede presentable para mostrar directo en PowerPoint. No me pidas YAML ni setup adicional.`
+- `Sketch this architecture first for Excalidraw: external users -> public load balancer -> private app VMs -> Autonomous Database. Give me a native .excalidraw file so I can review and collaborate before making the formal diagram.`
+- `Generate a simple high-level integration diagram for this flow: Slack -> Oracle Integration Cloud (OIC) -> Jira Service Management -> My Oracle Support. Add clear Client, Oracle, and External layers. Use brand icons for Slack and Jira Service Management, and deliver both .drawio and .pptx.`
+- `Generate a high-level architecture diagram for this scenario: 1 PostgreSQL in OCI Ashburn, accessed from GCP Virginia through interconnect. PostgreSQL connects internally to 1 Autonomous Database Serverless, which also has 1 refreshable clone in the same region but in a different AD. Deliver both .drawio and .pptx. Keep it simple, executive-friendly, and technically correct.`
+- `Gere um BOM em USD para este cenário: PostgreSQL no OCI com 4 OCPU e 500 GB, ADB-S com 200 ECPU e 1 TB BYOL, 1 refreshable clone com o mesmo sizing e FastConnect de 1 Gbps. Aplique 11% de desconto, 12 meses, 24 horas por dia. Quero o arquivo .xlsx e um resumo claro do custo mensal e anual.`
+
 ### Behavior Rules
 
 - If the user picks **1**, ask: "Paste your discovery notes (meeting notes, emails, whatever you have)."
-- If the user picks **2**, ask: "Describe the architecture you want to diagram, or paste a YAML spec if you have one."
+- If the user picks **2**, ask **two explicit questions** in one message and wait for both answers before doing anything else:
-- If the user picks **3**, ask: "Describe the architecture or paste the spec. I'll generate the deck."
+
-- If the user picks **4**, ask: "What services and sizing? (e.g., 'ADB-S 8 OCPU + 2 VMs + FastConnect')"
+  ```
+  1. Describe the architecture you want to diagram (or paste a YAML spec if you have one).
+  2. Which output format(s) do you want? Pick one or more:
+       (a) sketch — native .excalidraw whiteboard draft for brainstorming
+       (b) .drawio — editable technical diagram
+       (c) .pptx — native Oracle-style PowerPoint diagram/slide
+       (d) sketch + .drawio
+       (e) sketch + .pptx
+       (f) all
+  ```
+
+  If the user chooses **sketch only**, create a concise sketch spec and run `python tools/oci_excalidraw_gen.py --spec <sketch-spec.yaml> --output <output-dir>/architecture-sketch.excalidraw`. Save the generated `.excalidraw` file and companion `.md` instructions in the engagement output folder. Present the file list and the simple import/share workflow from the companion `.md` as the primary deliverable. Optionally save `architecture-sketch.mmd` as a secondary source when Mermaid is useful, but the native `.excalidraw` file is the draft artifact. Do not run the formal `absolute_layout` renderer unless the user asks to promote the sketch to `.drawio` or `.pptx`.
+
+  If the user chooses **sketch plus formal output**, produce the `.excalidraw` draft first and ask the user to confirm or adjust the intent before formal rendering. If the user explicitly says to generate all outputs without another checkpoint, generate the sketch and continue. If the user later uploads or references an edited `.excalidraw` from Excalidraw.com, treat it as visual discovery/reference input for the formal `.drawio` / `.pptx` flow; do not blindly convert its rough geometry into the final source of truth.
+
+  If the user provides an existing `.excalidraw` file and asks to convert it to `.drawio`, default to **Formal OCI diagram** unless they explicitly ask for a literal/whiteboard copy:
+  - **Hard rule:** do **not** hand-roll draw.io XML with inline Python for this path. Use the repo tools below. If `python` is not available, use `.venv/bin/python` or `python3`; do not fall back to a custom converter.
+  - **Formal OCI diagram (default)** — run `.venv/bin/python tools/excalidraw_to_oci_diagram.py --input <file.excalidraw> --output <output-dir>/<name>-oci.drawio --spec-output <output-dir>/<name>-oci.yaml`. This extracts the approved sketch intent, writes `*-analysis.yaml` and `*-review.md`, generates an `absolute_layout` YAML, then renders a new Oracle-style `.drawio` through `oci_diagram_gen.py` with OCI containers, icons, connector styles, and validators. For complex sketches (multicloud, hub-spoke, migration/cutover, cross-region DR, multiple regions/VCNs), run the same command with `--mode review` first, inspect/refine the generated analysis/spec, then render.
+  - **Literal sketch conversion (secondary)** — run `.venv/bin/python tools/excalidraw_to_drawio.py --input <file.excalidraw> --output <output-dir>/<name>-literal.drawio` only when the user asks to preserve the exact whiteboard look. This is an editable bridge artifact and does **not** infer OCI icons/services.
+  - **Both** — produce the formal OCI `.drawio` first, then the literal bridge if useful for comparison.
+
+  For any `.drawio` or `.pptx` output, **follow these steps in order — do NOT skip step 1**:
+  1. **Reference-architecture lookup.** Run `python tools/archcenter_pattern_lookup.py "<topology keywords>"` against `kb/architecture-center/catalog.yaml` (123 Oracle-curated entries with cached `.drawio` / `_description.md` / `_template.yaml` under `kb/diagram/assets/archcenter-refs/`). Pick the highest-scoring entry whose topology matches.
+     - **The cached `_template.yaml` is your YAML SCAFFOLD** — auto-extracted from the canonical `.drawio` by `tools/archcenter_drawio_to_template.py`. It carries Oracle's container geometry (region/vcn/ad/subnet bboxes), service positions, and edge waypoints in the `absolute_layout:` shape your spec uses. Copy it as the starting point, rename ids, fill in `type:` for services (the extractor leaves `type: TODO_identify` because the canonical icon TYPE is encoded in stencil bytes — pick the right alias from the renderer's TYPE_TO_ICON), and adapt to the customer's components. Lookup result surfaces it as `cached: yaml=<path>`.
+     - **The cached `.drawio` is the visual source of truth** if the template extractor missed something — open it (drawio.exe, the SVG companion, or the XML) for the canonical look.
+     - **Migration/cutover + multicloud templates.** Also check `kb/diagram/templates/catalog.yaml`. Use `renderable_templates` when the user asks for an operational cutover/runbook view (for example ADB-S → ADB-D with OGG forward/reverse replication) instead of a canonical steady-state Architecture Center topology.
+     - **Do NOT use `examples/` as a geometry source.** `examples/` is previous user output, not authoritative. The `_template.yaml` covers everything `examples/` was being abused for.
+     - **Lookup budget: max 2 queries — never loop.** If query 1 returns nothing convincing, run ONE refinement (broader phrasing or different keyword angle), then STOP. Re-querying the catalog 3+ times to find a "better" match is the dominant time-sink in this phase — the catalog has 123 entries indexed once; if two passes can't surface a topology match, none exists. Output of the lookup tool also surfaces a **`⚠ KNOWN GAP`** banner at the top whenever the query touches a documented gap (e.g. OCI-native services accessed FROM GCP via Cross-Cloud Interconnect, or OCI Cache/Redis/PostgreSQL as primary subject). When that banner appears, follow its **Recommended composition** verbatim instead of running more queries — it lists the primitives to combine. When NO gap banner appears AND no top-3 entry matches the topology, present the closest 3 to the user with: *"No exact ref-arch matches. Closest hits are X / Y / Z. I can either base the diagram on the closest of these (geometry transfers, service names don't), or compose from `<list specific slugs / patterns>`. Which?"* — let the user pick the chassis instead of guessing.
+  2. **Pre-generation review.** Confirm the component list with the user (REQUESTED + TECHNICAL DEPENDENCIES per the whitelist).
+  3. **Author the spec in `absolute_layout` shape** — this is REQUIRED. Do NOT use the legacy workload-driven shape (`tenancy → regions → compartments → services`); it does not resolve OCI icon stencils, does not run through the spec validator, and produces wireframe-looking output (rectangles with text instead of real OCI icons). Every container, service, label, and connection needs explicit `(x, y, w, h)`.
+
+     **Where to look up valid `type:` values for services:** the authoritative sources are (1) `TYPE_TO_ICON` in `tools/oci_pptx_diagram_gen.py` (PPTX path) and `ICON_TYPE_ALIASES` in `tools/oci_diagram_gen.py` (drawio path), and (2) the slug keys in `kb/diagram/oci-icons.json` (drawio) and `kb/diagram/oci-pptx-icons-index.json` (PPTX). Do NOT grep `examples/` for `type:` patterns to discover valid slugs — `examples/` are previous user outputs that may use stale or non-canonical slugs. Both renderer files and both index files are exhaustive and current.
+
+     **Newer OCI services without a toolkit icon** (OCI Cache with Redis / Valkey, OCI PostgreSQL, etc. — services GA after the v24.2 toolkit shipped): use the generic icon as the canonical fallback (Oracle's own ref archs do the same — they embed custom inline SVG over the generic icon). The renderer's alias tables already route `type: redis` / `cache` / `valkey` / `postgresql` to the generic `database` stencil. Pair with an explicit `label:` carrying the real service name (e.g. `label: "OCI Cache (Redis)"`). When Oracle ships a v25+ toolkit with these icons, update `kb/diagram/oci-icons.json` + the alias tables and the next render uses the real icon automatically.
+  4. **Spec validator runs automatically** before either renderer (`tools/diagram_spec_validator.py`). It runs ONLY on `absolute_layout` specs — that's another reason workload-driven is forbidden. Fix any errors before re-rendering.
+  5. **Render.** `oci_diagram_gen.py` for drawio, `oci_deck_gen.py` for PPTX.
+  6. **Visually verify.** `tools/oci_pptx_render.py` to rasterize, then read the PNG.
+
+  Full reference: `docs/skill/output-formats.md` § "Standard diagram-generation procedure (MANDATORY)".
+- If the user picks **3**, ask: "Describe the architecture or paste the spec. I'll generate the deck with a native OCI PowerPoint diagram when the architecture is structured enough."
+- If the user picks **4**, ask: "What services and sizing? (e.g., 'ADB-S 8 OCPU + 2 VMs + FastConnect'). License model — PAYG, BYOL, or both?"
+  Then follow the cost-estimate flow:
+  1. **Catalog first, web never.** `grep` [`kb/pricing/oci-sku-catalog.yaml`](kb/pricing/oci-sku-catalog.yaml) (auto-refreshed, authoritative) for the requested SKUs and consult [`docs/bom-cookbook.md`](docs/bom-cookbook.md) for copy-paste recipes (ExaCS X11M BYOL, ADB-Dedicated, ADB-S + Block, FastConnect, etc.). Use `kb/pricing/compute.yaml` for shape-level lookups. Do NOT reach for WebSearch / WebFetch / `oracle.com` for list prices — the catalog IS the source.
+  2. **Staleness gate.** Read `last_verified` at the top of the catalog. If >60 days stale, warn the user and offer `python tools/refresh_sku_catalog.py --refresh` before quoting. If <=60 days, proceed without web lookups.
+  3. **Catalog miss policy.** If a SKU is genuinely absent after `grep` (not "I didn't find it on first try"), state it explicitly, then run `python tools/refresh_sku_catalog.py --refresh` and re-grep. Only if a fresh catalog still doesn't surface it is `oracle.com/cloud/price-list/` an acceptable fallback — and cite the source URL next to the part number.
+  4. **Source extraction.** When the request references a customer artefact (`.pptx`, BOM, quote), extract the topology / sizing from the artefact first, list each scenario's components, then map to SKUs. Show the mapping (component → SKU) so the SA can audit it.
+  5. **Quote shape.** Per scenario list: SKU + product name + metric + list price USD + quantity + monthly subtotal. End with total $/month and total $/year. Cite the catalog's `last_verified` date in the output.
+  6. When both PAYG and BYOL are requested, present them side-by-side (same SKU rows, two price columns). Save the cost estimate to `examples/<customer>-cost-estimate.yaml` and present the formatted table in the terminal.
+  7. **Disclaimer (mandatory).** Read the `disclaimer:` field from `kb/pricing/oci-sku-catalog.yaml` and append it verbatim — as a footer line under the terminal table, and (if a deck is generated) as a final "Commercial Disclaimer" slide. Do NOT paraphrase or rewrite; the field already carries Oracle's sample-quote boilerplate plus the "reference only / no client-specific discounts" clauses. `tools/oci_bom_gen.py` already reads this field for BOM xlsx output.
+  8. **Deck verification (if a deck is generated).** Open the produced `.pptx` with `python-pptx` and assert: (a) slide count matches spec, (b) each slide's expected title is present, (c) chart types match what the spec asked for (e.g. `COLUMN_CLUSTERED`, `COLUMN_STACKED`), (d) the disclaimer slide is the last one. Print a one-line `deck OK: <N> slides, titles=[...]` summary so the SA can audit at a glance. Rasterizing to PNG via PowerPoint is not always available on Linux/WSL — structural validation is the floor, not optional.
 - If the user picks **5**, ask: "Describe your architecture or paste the spec. I'll run the 5-pillar review." Then follow the WA review flow:
   1. Parse input to build a workload profile YAML (flags) and architecture YAML
   2. If input is a `.pptx` file, extract text content from all slides to infer architecture and workload context
@@ -80,81 +193,29 @@ Pick a number, or just describe what you need.
      - Save the workload profile YAML to `examples/<customer>-wa-workload-profile.yaml`
   6. After the scorecard, offer next actions
 
-  **WA Review Output Format:**
+  **WA Review Output Format:** see [docs/skill/wa-review-format.md](docs/skill/wa-review-format.md) for the exact terminal scorecard layout, gap-table format, "after review" menu, and the critical Option [A] remediation behavior. Read that file before producing the scorecard.
-
-  The WA review MUST produce **two layers of output**: (a) the formatted terminal scorecard shown to the user, and (b) the structured YAML files saved to disk. The terminal output is the primary deliverable — the YAML is the backing data. Never produce YAML-only output without the formatted scorecard.
-
-  ```
-  ══════════════════════════════════════════════════════
-  ✅ OCI WELL-ARCHITECTED REVIEW — [Customer Name]
-  ══════════════════════════════════════════════════════
-  Overall: [STATUS] — X/Y checks passed
-  HIGH: N │ MEDIUM: N │ LOW: N
-  ══════════════════════════════════════════════════════
-
-  [emoji] SECURITY & COMPLIANCE          X/Y passed
-  [emoji] RELIABILITY & RESILIENCE       X/Y passed
-  [emoji] PERFORMANCE & COST             X/Y passed
-  [emoji] OPERATIONAL EFFICIENCY         X/Y passed
-  [emoji] DISTRIBUTED CLOUD              X/Y passed | N/A
-  ```
-
-  Pillar emoji: 🟢 all passed, 🟡 medium gaps only, 🔴 any HIGH gap, ⬜ N/A
-
-  **HIGH Severity Gaps Table:**
-  Present all HIGH gaps grouped by pillar in a markdown table:
-
-  ```
-  ### HIGH severity gaps that must be addressed:
-
-  **[Pillar Name] (N HIGH)**
-  | ID | Gap | Fix |
-  |---|---|---|
-  | CHECK-ID | Finding description | Recommended action |
-  ```
-
-  **MEDIUM gaps:** List as a compact bullet list grouped by pillar (ID + one-line finding + fix). Skip the table format to keep it concise.
-
-  **LOW gaps:** Mention count only, list individual items only if ≤ 5.
-
-  **Analysis Section:**
-  After the gap tables, add a "Why so many gaps?" paragraph if total gaps > 20, explaining the root cause (e.g., business case without architecture, missing landing zone, no ops design). This contextualizes the score for the SA.
-
-  **Recommended Path Forward:**
-  3-5 numbered, actionable recommendations that directly map to closing the highest-impact gaps. Reference skill options where applicable (e.g., "Generate the architecture — option 1 or 2").
-
-  **Files Generated:**
-  Always list the files saved at the end of the review:
-  ```
-  📁 Files saved:
-  - examples/<customer>-wa-scorecard.yaml
-  - examples/<customer>-wa-architecture.yaml
-  - examples/<customer>-wa-workload-profile.yaml
-  ```
-
-  **After WA Review Menu:**
-  ```
-  What do you want to do?
-  → [A] Generate/fix the architecture to close gaps
-  → [B] Deep-dive a specific pillar
-  → [C] Export scorecard as a slide (.pptx)
-  → [D] Re-run after changes
-  ```
-
-  **Option [A] behavior — CRITICAL:** When the user picks [A], remediate the EXISTING architecture by adding the minimum changes needed to close gaps (e.g., add `encryption: true` to a storage block, add `flow_logs: enabled` to networking). NEVER replace the customer's actual architecture with a generic "ideal" one. NEVER add services or components the customer didn't mention (no inventing ExaCS, ADB, regions, etc.). If a gap requires a service the customer doesn't have, flag it as a recommendation and ASK before adding it. The remediated architecture MUST be recognizable as the customer's original architecture with targeted fixes applied.
 - If the user picks **6**, ask: "What feature and deployment type? (e.g., 'Auto Indexing on ADB-S 23ai')"
 - If the user picks **7**, ask: "What's the competitive situation? (e.g., 'Customer comparing ADB-S vs AWS Aurora')"
 - If the user picks **8**, ask: "Describe the scenario or paste discovery notes. I'll build the business case. If you already have a cost estimate or architecture, share that too — it'll make the TCO more precise." Then follow the business case flow:
   1. Parse input into `templates/business-case.yaml` structure
   2. Identify business drivers and urgency from discovery notes
-  3. Estimate TCO comparison using `kb/pricing/*` and `kb/sizing/*`
+  3. Estimate TCO comparison using `kb/pricing/oci-sku-catalog.yaml` (live SKU prices), `kb/pricing/compute.yaml` (shape-level), `kb/field-knowledge/pricing-knowledge.yaml` (billing models, BYOL rules, free tiers), and `kb/sizing/*`
-  4. Calculate ROI and payback period
+  4. For ADB-S to ADB-D cases, use the reusable `adbs_to_adbd` model:
-  5. Map value drivers (cost, risk, agility, innovation) with quantified evidence
+     - keep workload/billable ECPU demand separate from dedicated physical capacity (`DB nodes × ECPU per DB node`)
-  6. Assess migration risks from `kb/field-knowledge/gotchas.yaml` and do-nothing risks
+     - do not assume ADB-D uses 100% physical capacity; show utilization explicitly
-  7. Compare with alternatives using `kb/competitive/*`
+     - keep workload demand comparable between ADB-S and ADB-D unless customer data says otherwise
-  8. Generate implementation roadmap based on engagement tier
+     - model ADB-D fixed DB server + storage server infrastructure separately from workload ECPU
-  9. Produce a 8-10 slide deck using Oracle FY26 template (`config/oracle-pptx-layouts.yaml` → `business_case` type)
+     - keep ADB-S as-is components explicit: primaries, local ADG, cross-region standby, refreshable/read clones, read clones, GoldenGate
-  10. Output: business-case.pptx + business-case.yaml (reusable spec)
+  5. Separate financial views: current/as-is run-rate, target/to-be run-rate, forecasted TCO by horizon, and scenario comparison when applicable. Avoid ambiguous labels such as `OCI Annual`; use scenario labels like `ADB-S As-Is`, `ADB-D Dedicated`, `Incremental Investment`, and `TCO Crossover`.
+  6. Generate companion BOMs for current as-is, to-be steady state, and 24M/36M projected as-is/to-be annual run-rate snapshots. Projected BOMs are not cumulative multi-year totals.
+  7. Model read architecture explicitly: ADB-S may require refreshable/read clones because standby is not the application read path; ADB-D may use Local ADG read-only standby and retire steady-state clones. Reflect this in BOM notes, value drivers, and risk/value slides.
+  8. Add storage economics: ADB-S per-GB storage, ADB-D fixed footprint, customer-provided base break-even when available, recalculated break-even for the proposed footprint, and visible storage offset.
+  9. Treat GoldenGate as `steady_state`, `migration_bridge_only`, or `migration_plus_fallback_months`. Bridge-only GoldenGate is Year-1 / one-time and is excluded from future steady-state BOMs.
+  10. Add a TCO crossover chart when multi-year forecast exists, defaulting to native PowerPoint grouped bars with executive labels (`Near-term`, `Year 1`, `Year 2`, `Year 3`) and delta bullets.
+  11. For risk-reduction cases, generate a Business Value Model instead of generic ROI percentages. Do not invent revenue impact; convert stability to USD only when the customer provides revenue-at-risk, transaction margin, fraud loss impact, or cost per degraded/outage hour.
+  12. Assess migration and inaction risks against the selected scenario only. Remove obsolete risks such as `if 4x3 is selected` after the customer has chosen `5x3`.
+  13. Produce an executive deck using Oracle FY26 template (`config/oracle-pptx-layouts.yaml` → `business_case` type), plus business-case YAML and generated BOM artefacts where applicable.
+  14. **Disclaimer + deck verification.** Append the `disclaimer:` field from `kb/pricing/oci-sku-catalog.yaml` as a final "Commercial Disclaimer" slide (verbatim — see option 4 step 7). Then run structural PPTX validation that reads text boxes, table cells, and grouped shapes; check slide count/titles, disclaimer-last, required assumptions, and forbidden obsolete phrases before reporting completion.
 - If the user picks **9**, ask: "What topic? (e.g., 'DEP', 'TAC', 'maintenance window', 'vector search')"
 - If the user picks **10**, ask: "What kind of architecture? (e.g., 'ADB + APEX', 'cross-region DR', 'data lakehouse')"
 - If the user picks **11**, switch to finding intake mode:
@@ -185,84 +246,30 @@ Pick a number, or just describe what you need.
      - Present the formatted terminal scorecard (primary deliverable)
   8. Output the ECAL Readiness Scorecard
 
-  **Scoring Model:**
+  **Scoring model, readiness levels, and output format:** see [docs/skill/ecal-readiness-format.md](docs/skill/ecal-readiness-format.md) for the scoring weights, the terminal scorecard layout, and the after-scorecard menu. Read that file before producing the scorecard.
-  Each artefact has a status: ✅ Complete | 🟡 Partial | ❌ Missing | ⬜ Not Applicable (future phase)
 
-  Phase scores are calculated as:
+- If the user picks **13**, ask: "What services does the customer need? (e.g., 'ExaCS X11M BYOL 2 DB servers + 4 storage + 128 ECPUs + ADB-S 8 ECPU + 2TB Block Storage + FastConnect 1Gbps'). I'll generate the BOM with only those SKUs."
-  - ✅ = 1.0 point, 🟡 = 0.5 point, ❌ = 0 points, ⬜ = excluded from denominator
+  Then follow the BOM generation flow:
-  - Phase score = (sum of points / applicable artefacts) × 100%
+  1. Parse the customer request to identify needed OCI services and quantities
+  2. Match services against `kb/pricing/oci-sku-catalog.yaml` (live, auto-refreshed) to select exact SKUs
+  3. Ask for discount % and contract duration if not specified (default: 0%, 12 months)
+  4. Ask if currency conversion is needed (e.g., USD→BRL with exchange rate and tax)
+  5. Generate the BOM spec YAML and save to the output folder
+  6. Run `tools/oci_bom_gen.py` to produce the .xlsx
+  7. Present a summary table in the terminal showing key totals (monthly, ARR)
+  8. List the files generated
 
-  Overall ECAL Readiness = weighted average:
+  **BOM Output Rules:**
-  - DEFINE: 25% weight
+  - NEVER include "Confidential: Internal ONLY" or any confidentiality marking
-  - DESIGN: 50% weight (largest phase, most artefacts)
+  - ALWAYS include the disclaimer from `kb/pricing/oci-sku-catalog.yaml` `disclaimer:` field at the bottom — `tools/oci_bom_gen.py` reads it automatically (do not duplicate, paraphrase, or maintain a second copy elsewhere)
-  - DELIVER: 25% weight
+  - Only include SKUs the customer actually requested — never dump the full catalog
+  - Show cost proportions so the customer can see where their spend concentrates
+  - Use Excel formulas (not static values) so the customer can adjust quantities
 
-  **Readiness Levels:**
+- If the user picks **14**, follow the same flow as option 13 (BOM generator) but generate the output in AppCA import format. AppCA is Oracle's internal deal approval tool. The generated .xlsx has two sheets:
-  - 🟢 80-100% — Ready to proceed to next phase
+  - **"Export to AppCA"**: Flat table with columns SKU, QTY, HOURS, MONTHS, DISCOUNT, BURSTABLE — ready to paste/import into AppCA
-  - 🟡 60-79%  — Gaps exist but manageable; proceed with caution
+  - **"BOM.C1"**: Full BOM detail with product names, metrics, prices, and formulas for cost calculations
-  - 🟠 40-59%  — Significant gaps; address before proceeding
+  Run with: `python tools/oci_bom_gen.py --spec <spec>.yaml --output <name>.xlsx --appca`
-  - 🔴 0-39%   — Major gaps; phase needs substantial work
-
-  **Output Format:**
-
-  The ECAL readiness score MUST produce **two layers of output**: (a) the formatted terminal scorecard shown to the user, and (b) the structured YAML file saved to disk. The terminal output is the primary deliverable — the YAML is the backing data. Never produce YAML-only output without the formatted scorecard.
-
-  ```
-  ══════════════════════════════════════════
-  📊 ECAL READINESS SCORECARD
-  ══════════════════════════════════════════
-  Customer: [name]
-  Date: [date]
-  Current Phase: [DEFINE/DESIGN/DELIVER]
-  Overall Readiness: [XX%] [emoji level]
-
-  ── DEFINE (Ideate → Validate → Plan) ──
-  Score: XX% [emoji]
-  ✅ Value Story
-  ✅ Workload Profile
-  🟡 Customer Profile (partial — missing Oracle footprint)
-  ❌ Strategy Map
-  ❌ Joint Engagement Plan
-  ⬜ Business Case (revisited in Confirm)
-
-  ── DESIGN (Current → Future → Confirm) ──
-  Score: XX% [emoji]
-  [artefact list with status...]
-
-  ── DELIVER (Adopt → Operate → Improve) ──
-  Score: XX% [emoji]
-  [artefact list with status...]
-
-  ── TOP 5 GAPS ──
-  1. ❌ [artefact] — [why it matters] — [recommended action]
-  2. ...
-
-  ── RECOMMENDED NEXT ACTIONS ──
-  1. [specific action]
-  2. [specific action]
-  3. [specific action]
-
-  ── ENGAGEMENT RACI CHECK ──
-  Roles identified: [list]
-  Roles missing: [list]
-  ══════════════════════════════════════════
-  ```
-
-  **Files Generated:**
-  Always list the files saved at the end of the scorecard:
-  ```
-  📁 Files saved:
-  - examples/<customer>-ecal-scorecard.yaml
-  ```
-
-  After showing the scorecard, offer:
-  ```
-  What do you want to do?
-  → [A] Fix the top gap now (I'll generate the missing artefact)
-  → [B] Generate all missing artefacts for current phase
-  → [C] Export scorecard as a slide (.pptx)
-  → [D] Re-score after updates
-  ```
 
 - If the user sends discovery notes directly (without picking a number), detect this and go straight to option 1 (full proposal flow).
 - If the user asks a specific question (e.g., "does ADB-S support vector search?"), detect this and go straight to the relevant capability without showing the menu.
@@ -277,7 +284,7 @@ After delivering an output, show elapsed time and offer the natural next step.
 ```
 ✅ Done — [task description] completed in [Xm Ys]
 
-  → [A] Generate additional outputs (drawio / doc / xlsx)
+  → [A] Generate additional outputs (sketch / drawio / doc / xlsx)
   → [B] Modify the architecture (add/remove/change services)
   → [C] Run Well-Architected review on this architecture
   → [D] Build a business case from this architecture
@@ -335,6 +342,32 @@ Full tier definitions and artifact matrix: [docs/engagement-tiers.md](docs/engag
 
 **Step 1 — Ideate:** Parse discovery notes into a **Workload Profile** (`templates/workload-profile.yaml`). Formulate a value hypothesis: "If we [technical action], the customer achieves [business outcome]." Use `kb/patterns/business-patterns.yaml` for proven business-level patterns.
 
+**Step 1b — Extraction Receipt (MANDATORY).** After parsing discovery notes, present an extraction receipt to the user BEFORE proceeding. This ensures the architecture is built on confirmed facts, not assumptions:
+  ```
+  📋 Extraction Receipt
+  ━━━━━━━━━━━━━━━━━━━━
+
+  From your input I extracted:
+
+  CONFIRMED (explicitly stated):
+  • [field]: [value] — source: "[exact quote or reference from notes]"
+  • [field]: [value] — source: "[exact quote or reference from notes]"
+
+  INFERRED (not stated, derived from context):
+  • [field]: [value] — reason: "[why I inferred this]"
+
+  MISSING (needed but not provided):
+  • [field] — needed for: [which artifact or decision needs it]
+
+  ━━━━━━━━━━━━━━━━━━━━
+  Confirm, correct, or fill gaps before I proceed.
+  ```
+  Rules:
+  - Every field in the workload profile that you populate must appear in either CONFIRMED or INFERRED.
+  - Do NOT proceed to Step 2 until the user confirms the receipt.
+  - If the user provides additional data, update the receipt and re-confirm.
+  - When generating the workload-profile.yaml, tag each field with `source: customer` (confirmed), `source: inferred`, or `source: default` so the SA knows what to validate with the customer.
+
 **Step 2 — Validate:** Test the hypothesis for SMART criteria (Specific, Measurable, Attainable, Relevant, Time-based). Identify gaps. Check technical feasibility against `kb/services/` and `kb/compatibility/`.
 
 **Step 3 — Service Tiering:** After parsing databases, assign each workload a tier (Platinum/Gold/Silver/Bronze) based on SLA requirements, compliance needs, and business criticality. Use the auto-assignment rules in `kb/patterns/service-tiering.yaml`. Present the assignment and ask the architect to confirm or adjust.
@@ -368,7 +401,7 @@ Capture enough about current state to architect the future. Frame the problem
 
 1. **Select services** from `kb/services/` across the full OCI catalog
 2. **Dimension each service** using `kb/sizing/` rules. For Oracle DBs, use AWR metrics if available. Apply conversion ratios. For ADB-S, size base OCPUs for P75.
-3. **Compose topology** from `kb/patterns/` blocks. Check conflicts, add implied dependencies, apply compliance overlays. Use `kb/patterns/application-patterns.yaml` for workload-type guidance.
+3. **Compose topology** from `kb/patterns/` blocks. Check conflicts and apply compliance overlays. Use `kb/patterns/application-patterns.yaml` for workload-type guidance. **Do NOT silently add components** — only add technical dependencies from the closed whitelist in the Guardrails section below. Everything else must be proposed as optional in the pre-generation review.
 4. **Architecture Principles** — Select applicable principles from `kb/patterns/architecture-principles.yaml` based on the workload profile. Check `applies_when` conditions. Include in the deck as a governance slide.
 5. **Environment Catalogue** — Expand each workload into environments (Prod/Pre-Prod/Dev-Test/DR) using the tier templates in `kb/patterns/environment-catalogue.yaml`. Apply cost optimization rules. Include in the deck and in the cost estimate.
 6. **Design deployment** — environment strategy, IaC approach, CI/CD pipeline
@@ -391,6 +424,28 @@ Capture enough about current state to architect the future. Frame the problem
 
 #### Confirm (Solution Proposal)
 
+**Completeness gate (MANDATORY before generating artifacts).** Before calling any generation tool (deck, diagram, BOM, PDF), verify that critical fields are populated based on engagement tier:
+
+| Field | Small | Standard | Complex |
+|---|---|---|---|
+| customer_name | required | required | required |
+| workload_type | required | required | required |
+| databases (type + count) | required | required | required |
+| primary_region | required | required | required |
+| compliance_frameworks | — | required | required |
+| RTO / RPO | — | required | required |
+| team_size | — | required | required |
+| current_infrastructure | — | required | required |
+| migration_driver | — | required | required |
+| environment_strategy | — | — | required |
+| operational_model | — | — | required |
+| multi_region_topology | — | — | required |
+| data_residency | — | — | required |
+
+- If **required** fields are missing: ask the user before generating.
+- If **optional** fields are missing: list them as assumptions in the output (e.g., "Assumed: PAYG pricing, single environment, no compliance requirements").
+- Fields tagged `source: inferred` in the workload profile count as populated but should be flagged as assumptions.
+
 Assemble all design work into a proposal. Ensure all propositions are **SMART**. Quality matters — it must look professional.
 
 **Outputs by tier:** See artifact matrix in [docs/engagement-tiers.md](docs/engagement-tiers.md)
@@ -432,113 +487,30 @@ Full DELIVER guide: [docs/deliver-phase.md](docs/deliver-phase.md)
 
 Every skill option that produces output MUST generate **readable, human-consumable output** as the primary deliverable. YAML files are structured backing data — they are never the final output shown to the user. Specifically:
 
-- **Options 1-4, 8:** Primary output is `.pptx` (slide deck) and/or `.drawio` (diagram). YAML specs are saved alongside but never presented as the deliverable.
+- **Options 1-4, 8:** Primary output is `.pptx` (slide deck), `.drawio` (diagram), and/or native `.excalidraw` sketch when the user requests draft mode. YAML/Mermaid specs are saved alongside when useful but never presented as the final deliverable.
 - **Option 5 (WA Review):** Primary output is the **formatted terminal scorecard** (banner + pillar bars + gap tables + recommendations). YAML scorecard saved to `examples/` as backing data.
 - **Option 12 (ECAL Readiness):** Primary output is the **formatted terminal scorecard** (phase scores + artefact checklist + gap analysis). YAML scorecard saved to `examples/` as backing data.
 - **After any review/score:** When the user picks [C] "Export as slide", generate a 1-2 slide `.pptx` with the scorecard visualization using `tools/oci_deck_gen.py`.
 
 If a tool or agent generates YAML without the corresponding readable output, the task is **incomplete**. Always present the formatted result, then list the files saved.
 
-### Output Directory Convention
+### Output directory, slide deck structure, format options, service categorization
 
-All generated files MUST be saved inside a dedicated output folder per customer/initiative:
+See [docs/skill/output-formats.md](docs/skill/output-formats.md) for the per-customer output folder convention, the complete format option matrix, the 16-slide deck structure, the diagram generation rules, and the service-to-color mapping.
-
-```
-examples/output-<customer>-<initiative>/
-```
-
-Examples:
-- `examples/output-meli-im06/` — MELI MySQL engagement
-- `examples/output-meli-im30/` — MELI ElasticSearch engagement
-- `examples/output-acme-migration/` — ACME cloud migration
-
-This folder contains ALL outputs for that engagement: `.pptx`, `.drawio`, `.yaml` specs, `.pdf`, scorecards. The folder is gitignored via `examples/output-*/` — never commit customer data.
-
-YAML spec files (architecture, workload-profile, diagram-spec) are saved IN the output folder, not loose in `examples/`. This keeps everything grouped and portable.
-
-Default output is a **slide deck (.pptx)**. The architect can specify:
-
-| Format | Output |
-|--------|--------|
-| `deck` (default) | 10-12 slide presentation |
-| `deck + drawio` | + editable architecture diagram |
-| `deck + doc` | + technical document (15-25 pages) |
-| `deck + xlsx` | + cost spreadsheet with formulas |
-| `deck + pdf` | + customer-facing PDF (branded, no internal refs) |
-| `pdf` | Customer PDF only |
-| `full` | Everything (pptx + drawio + docx + xlsx + pdf) |
-| `doc only` | Technical document without slides |
-| `deliver` | Handover + go-live checklist + success criteria |
-
-### Slide Deck Structure
-
-Slide count adapts to engagement tier (6-8 small, 10-12 standard, 12-16 complex):
-
-1. **Title** — customer, project, date (dark background)
-2. **Value Story** — business driver, hypothesis, desired outcomes
-3. **Service Tiering** — workload-to-tier mapping (Platinum/Gold/Silver/Bronze) with SLA, RTO/RPO
-4. **Architecture Principles** — selected ECAL principles (Design/Deployment/Service) that govern the architecture
-5. **Architecture Diagram** — fills 85% of slide
-6. **Architecture Decisions** — 4-6 key decisions with rationale
-7. **HA/DR** — topology + RTO/RPO per tier
-8. **Security & Compliance** — controls grid, compliance badges
-9. **Environment Catalogue** — Prod/Pre-Prod/Dev-Test/DR per workload with sizing and isolation
-10. **Cost Estimate** — PAYG vs BYOL table with assumptions (all environments)
-11. **Cost Comparison** (optional) — vs current state or competitor
-12. **Migration Approach** — phased timeline, tools, downtime strategy
-13. **Operational RACI** — responsibility matrix (customer vs Oracle/partner)
-14. **Risk Register** — severity-coded risk table
-15. **Well-Architected Scorecard** — 5-pillar traffic-light indicators
-16. **Next Steps** — concrete SMART actions with dates
-
-Use `tools/oci_deck_gen.py` for generation. Colors: teal `#2D5967`, copper `#AA643B`, purple `#804998`. Font: Segoe UI. Design standards: `config/output-formats.yaml`.
-
-### Architecture Diagram
-
-Use `tools/oci_diagram_gen.py` with OCI official styles from `kb/diagram/oci-toolkit-styles.yaml`. Containers, service blocks, connections, and typography rules are defined there.
 
 ---
 
-## Service Categorization
+## Cookbook: Building Tool Payloads
 
-| Category | Color | Use |
+Any pricing or SKU work — cost estimate (option 4), BOM (option 13), BOM-AppCA (option 14), business-case TCO (option 8), scenario comparison from a customer artefact (`.pptx`, BOM, quote) — starts in the local catalog, not on the web. Check [docs/bom-cookbook.md](docs/bom-cookbook.md) for copy-paste recipes (ExaCS X11M BYOL, ADB-Dedicated, ADB-S + Block + FastConnect) and the gotchas that otherwise burn exploration turns (e.g. ADB-Dedicated shares infrastructure SKUs with ExaCS — there are no separate `adb_dedicated` SKUs in the catalog).
-|----------|-------|-----|
+
-| **Infrastructure** | Teal `#2D5967` | Compute, OKE, LB, Gateways, WAF, Bastion, Storage, Monitoring |
+If a requirement does not match a recipe, `grep` [`kb/pricing/oci-sku-catalog.yaml`](kb/pricing/oci-sku-catalog.yaml) and consult `kb/services/` before inventing SKUs. See "What You Do NOT Do" for the web-lookup rule and `kb/pricing/oci-sku-catalog.yaml`'s `last_verified` for staleness handling.
-| **Database** | Copper `#AA643B` | ADB-S/D, DBCS, ExaCS, MySQL, PostgreSQL, NoSQL, GoldenGate |
-| **Integration** | Purple `#804998` | DRG, Streaming, Queue, OIC, FastConnect, Service Connector Hub |
-| **Dormant** | Light gray `#DFDCD8` | Standby/inactive resources (DR tier) |
-| **Legacy** | Medium gray `#70665E` | Non-OCI systems (MQ Series, legacy middleware) |
 
 ---
 
 ## Knowledge Base
 
-```
+KB lives under `kb/`. See [kb/README.md](kb/README.md) for the directory map, frontmatter requirements, refresh tooling, and contributor guide.
-kb/
-├── architecture-center/ # Oracle Architecture Center reference catalog
-│   └── catalog.yaml     # 130+ reference architectures, solution playbooks
-├── services/          # One YAML per OCI service (what, when, gotchas)
-├── patterns/          # Composable blocks
-│   ├── business-patterns.yaml      # Business-level patterns (DEFINE)
-│   ├── application-patterns.yaml   # Application architecture patterns (DESIGN)
-│   ├── service-tiering.yaml        # Service tier definitions (Platinum/Gold/Silver/Bronze)
-│   ├── architecture-principles.yaml # ECAL architecture principles (Design/Deployment/Service)
-│   ├── operational-raci.yaml       # RACI matrix templates (fully/co/self-managed)
-│   ├── environment-catalogue.yaml  # Environment templates per tier
-│   ├── database-ha/                # Database HA patterns
-│   ├── database-dr/                # Database DR patterns
-│   ├── networking-*/               # Networking patterns
-│   ├── compute-scaling/            # Compute auto-scaling
-│   ├── security-baseline/          # Security controls
-│   └── compliance-pci/             # PCI-DSS compliance
-├── sizing/            # CPU conversion ratios, IOPS, scaling rules
-├── pricing/           # Simplified pricing for estimation
-├── competitive/       # AWS/Azure/GCP service mapping
-├── well-architected/  # 5-pillar validation checklists
-├── diagram/           # OCI Toolkit styles and reference layouts
-├── compatibility/     # Feature matrices (ADB, etc.)
-└── field-knowledge/   # Real-world gotchas and lessons learned
-```
 
 ---
 
@@ -568,27 +540,71 @@ kb/
 - Present trade-offs explicitly. Let the architect decide.
 - Produce the **minimum needed** for the engagement tier — don't pad.
 
+### Minimal Output — Work Silently
+
+**Do NOT narrate your internal process.** The architect does not need a play-by-play of what you are doing. Specifically:
+
+- **Do NOT** announce each file you are about to read ("Let me check the service catalog...", "Reading the pricing file...").
+- **Do NOT** list the KB files, templates, or patterns you are consulting.
+- **Do NOT** describe intermediate reasoning steps ("First I'll parse your notes, then I'll...", "Now I'm matching services against the catalog...").
+- **Do NOT** echo back the user's input as a summary before starting work.
+- **Do NOT** show progress updates for sub-steps ("Step 1 done, moving to step 2...").
+
+**What TO show:**
+- Clarifying questions (when input is ambiguous or incomplete).
+- The pre-generation review (component confirmation before generating artifacts).
+- The final deliverable (scorecard, deck summary, file list, next-step menu).
+- Errors or blockers that require the architect's input.
+
+**In short:** Go from input → clarifying question (if needed) → pre-generation confirmation → final output. Skip everything in between. The architect cares about results, not process.
+
 ---
 
 ## Guardrails
 
-- **Only what the user asked for.** Never add services, components, or features the user did not request — this includes observability (Monitoring, Logging, Events), security services (Data Safe, Vault, Cloud Guard, WAF), sizing details, connection types (RPC, peering), and any "nice to have" additions. Adding unrequested components wastes the architect's time and erodes trust.
+- **Only what the user asked for.** Never add services, components, or features the user did not request — this includes observability (Monitoring, Logging, Events), security services (Data Safe, Vault, Cloud Guard, WAF), sizing details, connection types (RPC, peering), and any "nice to have" additions. Adding unrequested components wastes the architect's time and erodes trust. The ONLY exception is the closed whitelist of technical dependencies below.
+
+- **Technical dependency whitelist (closed — nothing else is auto-added):**
+
+  | If the user requests… | Auto-include | Reason |
+  |---|---|---|
+  | FastConnect | DRG | FastConnect terminates on DRG — cannot work without it |
+  | VPN Connect | DRG | IPSec tunnels terminate on DRG |
+  | ADB-S / ExaCS with backup to Object Storage | Service Gateway | Backup traffic requires SGW for Oracle Services Network |
+  | Any service in a public subnet | Internet Gateway | Public subnet routing requires IGW |
+  | Any private subnet service needing internet egress | NAT Gateway | Private-to-internet routing requires NAT |
+  | Cross-region DR (Data Guard, FSDR) | Remote Peering Connection (RPC) | Cross-region VCN connectivity requires RPC on both DRGs |
+
+  Everything NOT in this table — including Monitoring, Logging, Events, Vault, Data Safe, WAF, Cloud Guard, Bastion, management subnets, compartment boundaries — requires explicit user approval via the pre-generation review.
+
 - **Ask, don't guess.** When requirements are ambiguous or incomplete, ask a clarifying question instead of filling in assumptions. A 10-second question saves a 10-minute redo.
-- **Pre-generation review.** Before generating any diagram or architecture artifact, confirm the component list with the user. Present what you understood and suggest optional additions they can approve or reject:
-  ```
-  I'll generate a diagram with:
-  ✅ [list of explicitly requested components]
 
-  Want me to also include any of these?
+- **MANDATORY pre-generation review.** Before generating ANY diagram, deck, or architecture artifact, you MUST confirm the component list with the user. Never skip this step. Present three clearly separated sections:
-  • Observability subnet
-  • Compartment boundaries
-  • Security services (Data Safe, Vault)
-  • Gateways (IGW, NAT, SGW)
-  • [other relevant options based on context]
-
-  Or just generate with the above?
   ```
-  This takes 5 seconds to confirm and prevents rework.
+  I'll generate with:
+
+  REQUESTED (from your input):
+  ✅ [only components explicitly mentioned by the user]
+
+  TECHNICAL DEPENDENCIES (auto-added per whitelist):
+  ⚙️ [only items from the whitelist table above, with reason]
+
+  OPTIONAL — want me to add any of these?
+  ○ Observability (Monitoring, Logging, Events)
+  ○ Security services (Vault, Data Safe, WAF, Cloud Guard)
+  ○ Management subnet
+  ○ Compartment boundaries
+  ○ Bastion / jump host
+  ○ [other relevant options based on context]
+
+  Generate with the above, or adjust?
+  ```
+  Wait for the user's response before generating. If the user says "just generate" or equivalent, proceed with only REQUESTED + TECHNICAL DEPENDENCIES (no optionals).
+
+- **Source attribution.** When the user provides documents, URLs, meeting notes, or external data:
+  - Cite the source when extracting data: "From [document/source]: [extracted fact]"
+  - Clearly separate facts from the source vs. your own inferences
+  - If the source contradicts the internal KB, flag the conflict explicitly and let the architect decide
 
 ## What You Do NOT Do
 
@@ -596,6 +612,10 @@ kb/
 - You do NOT replace the architect's judgment. You accelerate it.
 - You do NOT generate pixel-perfect diagrams. You generate 80% drafts the architect refines.
 - You do NOT make up pricing. If you don't have current pricing, estimate ranges.
+- You do NOT use WebSearch / WebFetch / `oracle.com` for OCI list prices or SKU lookups. `kb/pricing/oci-sku-catalog.yaml` is auto-refreshed via `tools/refresh_sku_catalog.py` (Oracle apexapps pricing API) and is the source of truth — including for ECPU/OCPU rates, BYOL deltas, Exadata X11M part numbers, and ADB-D ECPU SKUs. Web fallback is allowed ONLY when (a) the SKU is genuinely absent after `grep` AND a fresh `--refresh` still does not surface it, or (b) the catalog's `last_verified` is >60 days stale and a refresh is not currently possible. In either case, cite the source URL alongside the part number. Reflexively reaching for WebSearch when the catalog already has the answer is the most common cost-estimate failure mode — don't.
 - You do NOT claim features exist if you're unsure. Check the KB first.
 - You do NOT do detailed project management. DELIVER artifacts are lightweight handover aids.
 - You do NOT add services or components the user did not request.
+- **The skill ships as an MCP server.** This repo is packaged and served via the hosted MCP at `https://mcp.tech-lad.com/deal-accelerator/mcp/`. Anything you change in the skill's runtime — `tools/`, `scripts/`, `kb/`, `SKILL.md`, `AGENTS.md`, `.agents/` — must keep working in that deployed environment, not just on the SA's laptop. Concrete implications: (1) NO machine-specific paths (use `pathlib.Path(__file__).resolve().parent.parent` or env vars, never hardcoded `/mnt/c/...` or `/home/diego/...`); (2) NO required network calls during normal operation (the MCP container won't have access to drawio.exe, paid APIs, or Diego's local files — opt-in via env vars like `DRAWIO_EXE` / `ANTHROPIC_API_KEY`, never required); (3) NO writes outside the repo tree (the MCP filesystem is the cloned repo, write only under `examples/`, `tmp/`, or the artifacts the skill is meant to produce); (4) NO new dependencies that aren't in `requirements.txt` (CI installs from there, the MCP container too); (5) any new tool must work in a fresh clone with `make venv` — no manual setup steps. Before adding a feature that depends on a binary, an external service, or a privileged operation, ask whether it'll work when the SA is hitting the MCP endpoint with no laptop attached.
+
+- **You do NOT edit skill source code or tooling when the user is in "menu mode".** When the user invoked the skill via the welcome menu (options 1–14) or asked for one of the menu outputs (proposal, diagram, deck, BOM, WA review, etc.), your job is to USE the existing tools, not modify them. Do NOT touch `tools/`, `scripts/`, `kb/diagram/*.json`, or any other code/index file as part of fulfilling a menu request — even if you discover a bug or a missing alias mid-task. If you hit a tool gap (missing icon alias, broken renderer, type that doesn't resolve), surface it as a follow-up at the end of your reply (e.g. "I noticed `refreshable_clone` doesn't have a PPTX icon alias — flag this for the maintainer to add to `tools/oci_pptx_diagram_gen.py::TYPE_TO_ICON`") rather than silently patching it. Code edits happen in a separate "developer mode" engagement, not while the SA is generating customer artifacts. The two exceptions: (1) `kb/field-findings/tracker.yaml` via menu option 11 (the menu's purpose IS to write that file), and (2) writing the customer's spec/output YAML files under `examples/<customer>/` — those are the deliverable, not the skill itself.

codex/README.md

@@ -8,7 +8,10 @@
 # Navigate to the project root
 cd oci-deal-accelerator
 
-# Run Codex — it auto-discovers AGENTS.md and .agents/skills/
+# One-time: create virtual environment with all dependencies
+make venv
+
+# Run Codex — it auto-discovers AGENTS.md, .agents/skills/, and .codex/config.toml
 codex
 
 # Or explicitly load the skill
@@ -18,6 +21,18 @@ codex --skill oci-deal-accelerator
 Codex automatically reads:
 - `AGENTS.md` at project root (project-level instructions)
 - `.agents/skills/oci-deal-accelerator/SKILL.md` (the skill definition)
+- `.codex/config.toml` (project sandbox + approval config — **enables network for pip**)
+
+### Why `.codex/config.toml` matters
+
+By default Codex CLI blocks network access and prompts before every command.
+The committed `.codex/config.toml` pre-configures this project with:
+
+- `approval_policy = "never"` — no per-command prompts
+- `sandbox_mode = "workspace-write"` — agent can write in the repo
+- `network_access = true` — `pip install` and `make venv` actually work
+
+Without this file, `make venv` fails with `No matching distribution found for pyyaml` because PyPI is unreachable from the sandbox.
 
 ### Option 2: Using Codex App
 

config/brand-icons.yaml

@@ -0,0 +1,45 @@
+version: 1
+
+# Resolution policy:
+# 1. Prefer officially downloaded vendor assets committed under
+#    kb/diagram/brand-icons/official/
+# 2. Fall back to vetted local assets under
+#    kb/diagram/brand-icons/fallback/
+#
+# The renderers resolve by alias first, then walk `resolution_order`
+# until they find an existing file.
+resolution_order:
+  - official_svg
+  - official_png
+  - fallback_svg
+  - fallback_png
+
+icons:
+  slack:
+    label: Slack
+    aliases:
+      - slack_app
+      - slack_bot
+    official_png: kb/diagram/brand-icons/official/slack/slack_hash_256.png
+
+  jira:
+    label: Jira
+    aliases:
+      - atlassian_jira
+    official_svg: kb/diagram/brand-icons/official/jira/Jira_icon.svg
+
+  jira_service_management:
+    label: Jira Service Management
+    aliases:
+      - jsm
+      - jira-service-management
+      - jira service management
+    official_svg: kb/diagram/brand-icons/official/jira-service-management/Jira-Service-Management_icon.svg
+
+  jirasoftware:
+    label: Jira Software
+    aliases:
+      - jira_software
+      - jira-software
+      - jira software
+    fallback_svg: kb/diagram/brand-icons/fallback/jirasoftware.svg

config/kb-governance.yaml

@@ -28,7 +28,7 @@ review_triggers:
   - event: "Oracle database version release"
     action: "Review all feature matrix entries. Mark untested. Validate within 14 days."
   - event: "Oracle pricing change"
-    action: "Update kb/pricing/ files. Verify cost calculator accuracy."
+    action: "Run python tools/refresh_sku_catalog.py --refresh and --refresh-domain compute. Both pull from the live Oracle pricing API."
   - event: "After customer engagement"
     action: "Run After-Engagement Review (AER). Add findings and KB updates."
   - event: "Quarterly"

config/kb-owners.yaml

@@ -20,15 +20,15 @@ domains:
     review_cadence: "quarterly"
 
   - area: "kb/compatibility/"
-    owner: { name: "TBD", team: "Database Specialists" }
+    owner: { name: "Diego Cabrera", team: "Field SA" }
     review_cadence: "on Oracle version release + quarterly"
 
   - area: "kb/pricing/"
-    owner: { name: "TBD", team: "Solution Engineering" }
+    owner: { name: "Auto-refreshed", team: "Oracle Public Pricing API" }
-    review_cadence: "monthly (pricing changes frequently)"
+    review_cadence: "automatic — refresh tools pull from the API on demand; freshness checker runs in welcome flow"
 
   - area: "kb/competitive/"
-    owner: { name: "TBD", team: "Competitive Intelligence" }
+    owner: { name: "Diego Cabrera", team: "Field SA" }
     review_cadence: "quarterly + on competitor announcements"
 
   - area: "kb/field-findings/"
@@ -36,5 +36,5 @@ domains:
     review_cadence: "continuous"
 
   - area: "kb/well-architected/"
-    owner: { name: "TBD", team: "Cloud Architecture" }
+    owner: { name: "Diego Cabrera", team: "Field SA" }
     review_cadence: "on Oracle WA Framework updates"

config/kb-tags.yaml

@@ -12,6 +12,7 @@
 ---
 taxonomy:
   products:
+    - adb       # generic ADB (covers both -s and -d)
     - adb-s
     - adb-d
     - dep
@@ -26,6 +27,8 @@ taxonomy:
     - goldengate
     - data-safe
     - vault
+    - rac
+    - proxysql
 
   versions:
     - 19c
@@ -44,6 +47,42 @@ taxonomy:
     - sizing
     - compliance
 
+  features:
+    - adg                  # Active Data Guard
+    - ai-vector-search
+    - vector-search
+    - hnsw                 # Hierarchical Navigable Small World indexes
+    - json
+    - partitioning
+    - refreshable-clone
+    - elastic-pool
+    - ecpu                 # ECPU billing model (vs OCPU)
+    - connection-pooling
+    - distributed
+    - immutable
+    - serialization
+
+  operations:
+    - cli
+    - maintenance-window
+    - provisioning
+    - planning
+    - lead-time
+    - capacity
+    - node-split
+    - zero-downtime
+    - bidirectional
+    - detection-delay
+    - stale-reads
+
+  metrics:
+    - latency
+    - 100m                 # 100 million scale (e.g. vector counts)
+
+  limitations:
+    - limitation
+    - sr-required          # Service Request required to enable / fix
+
   severity_tags:
     - blocker
     - workaround-available

config/output-formats.yaml

@@ -4,7 +4,7 @@
 output_selection:
   description: |
     The architect can specify output format when requesting deliverables:
-      deck              ← default, just the slide deck
+      deck              ← default, slide deck with native OCI PowerPoint diagram when applicable
       deck + drawio     ← deck + editable diagram
       deck + doc        ← deck + detailed technical document
       deck + xlsx       ← deck + detailed cost spreadsheet
@@ -22,12 +22,12 @@ output_selection:
     deck:
       extension: ".pptx"
       generator: "tools/oci_deck_gen.py"
-      description: "10-12 slide architecture proposal"
+      description: "10-12 slide architecture proposal with native OCI PowerPoint diagram when applicable"
 
     drawio:
       extension: ".drawio"
       generator: "tools/oci_diagram_gen.py"
-      description: "Editable architecture diagram (draw.io)"
+      description: "Editable architecture diagram (draw.io) for technical editing workflows"
 
     doc:
       extension: ".docx"
@@ -133,7 +133,7 @@ deck_structure:
 
     - number: 3
       type: architecture_diagram
-      content: "Full architecture diagram (85% of slide)"
+      content: "Full architecture diagram (85% of slide), preferring native OCI PowerPoint shapes over pasted images"
       style: "White background, diagram fills slide"
 
     - number: 4

config/pptx-icon-library.yaml

@@ -0,0 +1,117 @@
+asset:
+  bundled_path: kb/diagram/assets/OCI_Icons.pptx
+  manifest_path: kb/diagram/oci-pptx-icons-manifest.yaml
+  index_path: kb/diagram/oci-pptx-icons-index.json
+  env_var: OCI_ICONS_PPTX_PATH
+  search_globs:
+    - /mnt/c/Users/*/Downloads/OCI_Icons*.pptx
+    - ~/Downloads/OCI_Icons*.pptx
+    - kb/diagram/assets/OCI_Icons*.pptx
+
+refresh:
+  sync_discovered_asset_into_bundle: true
+  choose_newest_discovered_match: true
+
+instruction_index:
+  noise_contains:
+    - "copyright"
+    - "oracle and/or its affiliates"
+  noise_exact:
+    - "tip"
+
+semantic_markers:
+  connectors_logical:
+    title_contains: "Connectors"
+    all_text:
+      - "Open Arrowhead style"
+      - "Bark color"
+      - "relationships between icons and grouping boxes"
+  connector_labels:
+    all_text:
+      - "connector labels"
+      - "Place connector labels on the horizontal portions"
+  grouping:
+    title_contains: "Grouping"
+    all_text:
+      - "OCI Region"
+      - "Availability Domain"
+      - "Compartment"
+  landscape_blank_template:
+    all_text:
+      - "Landscape Blank Template"
+      - "Location Canvas"
+      - "OCI Region"
+  portrait_blank_template:
+    all_text:
+      - "Portrait Blank Template"
+      - "OCI Region"
+  landscape_sample_db_dr:
+    all_text:
+      - "Landscape Sample"
+      - "Primary"
+      - "Standby"
+      - "Database"
+      - "VCN"
+  database_icons:
+    title_contains: "Database"
+    any_text:
+      - "ADB-D"
+      - "ATP-D"
+      - "ADW-D"
+      - "Data Guard"
+  migration_icons:
+    title_contains: "Migration"
+    any_text:
+      - "Database Migration"
+      - "Oracle Cloud Migration Advisor"
+
+extracted_shapes:
+  grouping_labels:
+    - "OCI Region"
+    - "Availability Domain"
+    - "Fault Domain"
+    - "Tier"
+    - "Tenancy"
+    - "Compartment"
+    - "VCN"
+    - "Subnet"
+  database_icon_labels:
+    - "Database"
+    - "Oracle Autonomous Database"
+    - "ADW-D"
+    - "ATP-D"
+    - "ADB-D"
+    - "Oracle Exadata Database Service"
+    - "Data Safe"
+    - "NoSQL Database"
+    - "Database Management"
+    - "Data Guard"
+    - "Data Guard Recovery"
+
+design_tokens:
+  palette:
+    bark: "312D2A"
+    bark_soft: "66615C"
+    gray_divider: "9E9892"
+    gray_tick: "C8C5C1"
+    bg_warm: "FBF6F0"
+    white: "FFFFFF"
+    oracle_red: "C74634"
+    oracle_red_soft: "AE562C"
+    oracle_blue: "3F7CC4"
+    oracle_green: "00875A"
+    oracle_amber: "E8A92F"
+    tl_green: "EAF2DE"
+    tl_yellow: "FBF1C7"
+    tl_amber: "F8D9A8"
+    tl_red: "F6CAC4"
+  typography:
+    primary_font: "Oracle Sans"
+  connector_style:
+    line_width_emu: 12700
+    line_width_soft_emu: 9525
+    color: "312D2A"
+    arrowhead:
+      type: "triangle"
+      width: "sm"
+      length: "sm"

docs/bom-cookbook.md

@@ -0,0 +1,190 @@
+# BOM Cookbook — Building `generate_bom` Payloads
+
+Copy-paste recipes that map common customer requirements to the exact OCI SKUs the
+`generate_bom`, `generate_bom_appca`, and `generate_cost_estimate` MCP tools expect.
+The goal is to skip the "grep the catalog and guess SKUs" exploration loop that
+burns tool calls on well-known patterns.
+
+> **If the requirement does not match any recipe below, consult
+> [`kb/services/`](../kb/services/) and
+> [`kb/pricing/oci-sku-catalog.yaml`](../kb/pricing/oci-sku-catalog.yaml)
+> before inventing SKUs.** All SKUs below are verified against the catalog as of
+> 2026-04-20; re-`grep` the catalog if a recipe ever fails.
+
+## Payload Shape
+
+All three tools accept the same envelope:
+
+```json
+{
+  "customer_id": "acme-prod",
+  "discount_pct": 0.35,
+  "currency": "USD",
+  "services": [
+    { "sku": "B90777", "quantity": 1 }
+  ]
+}
+```
+
+- `customer_id`: free-form identifier, used for output file naming.
+- `discount_pct`: decimal (0.35 = 35%). Applied to every line unless overridden.
+- `services[].quantity`: integer or float depending on the SKU metric (ECPUs, GB, hours).
+
+---
+
+## Recipe 1 — Exadata Cloud Service (ExaCS) X11M, BYOL
+
+**When it matches:** "ExaCS X11M BYOL, N ECPUs, M TB storage, no DR" — customer-managed
+Oracle Database on dedicated Exadata hardware, BYOL licensing.
+
+**SKUs:**
+
+| SKU | Component | Typical qty |
+|-----|-----------|-------------|
+| `B90777` | Exadata Infrastructure — Base System | `1` per rack |
+| `B110627` | Exadata Database Server — X11M | `2` (Base/Quarter) — adjust per rack config |
+| `B110629` | Exadata Storage Server — X11M | `3` (Base/Quarter) — adjust per rack config |
+| `B110632` | Exadata Database ECPU — Dedicated Infra BYOL (X11M) | One per ECPU |
+
+Swap `B110632` → `B110631` for PAYG (license-included) pricing.
+
+**Payload (120 ECPUs, 120 TB, BYOL, standard Base System):**
+
+```json
+{
+  "customer_id": "acme-exacs",
+  "discount_pct": 0.35,
+  "currency": "USD",
+  "services": [
+    { "sku": "B90777",  "quantity": 1 },
+    { "sku": "B110627", "quantity": 2 },
+    { "sku": "B110629", "quantity": 3 },
+    { "sku": "B110632", "quantity": 120 }
+  ]
+}
+```
+
+---
+
+## Recipe 2 — Autonomous Database Dedicated (ADB-D), BYOL
+
+**When it matches:** "ADB Dedicated, N ECPUs, M TB, BYOL" — Autonomous Database running
+on dedicated Exadata infrastructure.
+
+**⚠️ Gotcha that burns tool calls:** ADB-Dedicated has **no separate infrastructure
+SKUs** in the catalog. It reuses the same Exadata dedicated infra SKUs as ExaCS
+(`B90777`, `B110627`, `B110629`) plus the same Exadata ECPU SKU (`B110631`/`B110632`).
+The Autonomous-vs-customer-managed distinction is a tenancy-level configuration,
+not a billing line item. Do not search for `autonomous_dedicated` SKUs — they do
+not exist.
+
+**SKUs:** identical to Recipe 1.
+
+**Payload (64 ECPUs, BYOL):**
+
+```json
+{
+  "customer_id": "acme-adbd",
+  "discount_pct": 0.35,
+  "currency": "USD",
+  "services": [
+    { "sku": "B90777",  "quantity": 1 },
+    { "sku": "B110627", "quantity": 2 },
+    { "sku": "B110629", "quantity": 3 },
+    { "sku": "B110632", "quantity": 64 }
+  ]
+}
+```
+
+---
+
+## Recipe 3 — Autonomous Database Serverless (ADB-S) + Block Volume + FastConnect
+
+**When it matches:** "ADB-S ATP, N ECPUs, M TB data + block storage for app tier +
+FastConnect to on-prem" — the typical "app on OCI Compute, DB on ADB-S" pattern.
+
+**SKUs:**
+
+| SKU | Component | Metric |
+|-----|-----------|--------|
+| `B95701` | ADB ECPU (ATP or ADW) — license-included | ECPU/hour |
+| `B95703` | ADB ECPU BYOL — use instead of B95701 if BYOL | ECPU/hour |
+| `B95706` | ADB ATP data storage | GB/month |
+| `B95754` | ADB ADW data storage — use instead of B95706 for warehouse | GB/month |
+| `B95754a` | ADB backup storage | GB/month |
+| `B91961` | Block Volume storage (app tier) | GB/month |
+| `B91962` | Block Volume performance (VPU) — optional, for higher IOPS tiers | VPU/GB/month |
+| `B88326` | FastConnect 10 Gbps port | port-hour |
+
+Swap `B88326` → `B88325` (1 Gbps) or `B93126` (100 Gbps) as needed.
+
+**Payload (16 ECPUs ATP license-included, 2 TB data + 1 TB backup, 500 GB block, 10 G FastConnect):**
+
+```json
+{
+  "customer_id": "acme-adbs",
+  "discount_pct": 0.35,
+  "currency": "USD",
+  "services": [
+    { "sku": "B95701",  "quantity": 16 },
+    { "sku": "B95706",  "quantity": 2048 },
+    { "sku": "B95754a", "quantity": 1024 },
+    { "sku": "B91961",  "quantity": 500 },
+    { "sku": "B88326",  "quantity": 1 }
+  ]
+}
+```
+
+---
+
+## Recipe 4 — Big Data Service + Data Science + Data Flow (analytics stack)
+
+**When it matches:** "HDFS-managed cluster for ETL", "notebooks + model deployment",
+"managed Spark pipelines" — typical OCI analytics/AI workload mix.
+
+**SKUs:**
+
+| SKU | Component | Metric |
+|-----|-----------|--------|
+| `B91128` | Big Data Service — Compute Standard (real) | OCPU/hour |
+| `B91129` | Big Data Service — Compute Dense I/O (real) | OCPU/hour |
+| `B91130` | Big Data Service — Compute HPC (real) | OCPU/hour |
+| `B93555` | Big Data Service — Core (real) | OCPU/hour |
+| `EST-DS-NOTEBOOK` | **[Estimate]** Data Science notebook session — priced as underlying VM.Standard OCPU | OCPU/hour |
+| `EST-DS-MODEL` | **[Estimate]** Data Science model-deployment endpoint — priced as underlying VM.Standard OCPU | OCPU/hour |
+| `EST-DF-SPARK` | **[Estimate]** Data Flow managed Spark runtime — priced as underlying VM.Standard OCPU | OCPU/hour |
+
+OCI Data Science and OCI Data Flow have no dedicated SKUs in the Oracle public
+pricing API — both are billed via the underlying Compute shape + Block/Object
+Storage consumed. The `EST-*` entries are placeholder estimates (VM.Standard3.Flex
+OCPU rate) so BOMs can include them as line items with an explicit "estimate"
+flag; confirm the actual shape and hours with the customer before quoting.
+
+**Payload (16 BDS Standard + 8 BDS Dense I/O + 4 notebook + 2 model + 8 Spark):**
+
+```json
+{
+  "customer_id": "acme-analytics",
+  "discount_pct": 0.30,
+  "currency": "USD",
+  "services": [
+    { "sku": "B91128",          "quantity": 16 },
+    { "sku": "B91129",          "quantity": 8 },
+    { "sku": "EST-DS-NOTEBOOK", "quantity": 4 },
+    { "sku": "EST-DS-MODEL",    "quantity": 2 },
+    { "sku": "EST-DF-SPARK",    "quantity": 8 }
+  ]
+}
+```
+
+Add `B91961` (Block Volume) and `B91628` (Object Storage Standard) when the
+customer needs dedicated storage beyond the compute default.
+
+---
+
+## When a recipe doesn't fit
+
+1. Grep the catalog: `grep -n "<product keyword>" kb/pricing/oci-sku-catalog.yaml`
+2. Check service docs under `kb/services/` for deployment-specific guidance.
+3. Check `kb/field-knowledge/` for known sizing/pricing gotchas.
+4. If a SKU still cannot be located, surface the gap to the user rather than guessing — fabricated SKUs break the BOM silently.

docs/business-case-flow.md

@@ -0,0 +1,63 @@
+# Business Case Flow
+
+Option 8 produces an executive business-case deck plus reusable YAML backing
+data. For ADB-S to ADB-D cases, use `business_case.adbs_to_adbd`.
+
+## ADB-S to ADB-D Rules
+
+- Keep workload/billable ECPU demand comparable between ADB-S and ADB-D unless
+  the customer provides a different target demand.
+- Dedicated physical capacity is a separate fixed footprint:
+  `DB nodes x ECPU per DB node`.
+- Never model ADB-D at 100% utilization by default. Show utilization explicitly.
+- ADB-D fixed infrastructure includes DB servers and storage servers; workload
+  ECPU demand remains a separate line.
+- Projected BOMs are annual run-rate snapshots at the horizon, not cumulative
+  multi-year totals.
+- GoldenGate can be `steady_state`, `migration_bridge_only`, or
+  `migration_plus_fallback_months`. Bridge-only GoldenGate is excluded from
+  future steady-state BOMs.
+
+## Read Architecture
+
+ADB-S and ADB-D can carry the same workload demand while using different read
+architectures. ADB-S may require refreshable/read clones when standby is not the
+application read path. ADB-D may use Local ADG read-only standby and retire
+steady-state clones. The deck should call this out in BOM notes, value drivers,
+and risk/value slides.
+
+## Storage Economics
+
+Storage economics are shown separately from aggregate TCO:
+
+```text
+break-even TB = fixed dedicated infra monthly cost / ADB-S storage USD per GB-month / 1024
+```
+
+Apply discounts uniformly when comparing scenarios. If customer material
+provides a baseline break-even, show it beside the recalculated break-even for
+the proposed footprint.
+
+## Business Value
+
+Risk-reduction cases use a Business Value Model instead of generic ROI
+percentages. Do not invent revenue impact. Convert stability to USD only when
+the customer provides revenue-at-risk, transaction margin, fraud loss impact, or
+cost per degraded/outage hour.
+
+Use:
+
+```text
+avoided degraded/outage hours x business impact per hour
+```
+
+Track success metrics such as CPU utilization, read latency, clone lag retired,
+ADG read lag, GoldenGate/apply lag during migration, incidents avoided, and
+degraded hours avoided.
+
+## Validation
+
+Business-case deck validation reads text boxes, table cells, and grouped shapes.
+It checks expected titles, disclaimer-last, required assumptions, and forbidden
+obsolete phrases such as `OCI Annual`, stale scenario risks, and unclear
+language like `FTE-year`.

docs/skill/ecal-readiness-format.md

@@ -0,0 +1,88 @@
+# ECAL Readiness Scorecard Format
+
+This document defines how option 12 (ECAL Readiness Score) presents its results.
+Referenced from `SKILL.md` § Welcome Flow → Behavior Rules → option 12.
+
+## Scoring model
+
+Each artefact has a status: ✅ Complete | 🟡 Partial | ❌ Missing | ⬜ Not Applicable (future phase).
+
+Phase scores are calculated as:
+- ✅ = 1.0 point, 🟡 = 0.5 point, ❌ = 0 points, ⬜ = excluded from denominator
+- Phase score = (sum of points / applicable artefacts) × 100%
+
+Overall ECAL Readiness = weighted average:
+- DEFINE: 25% weight
+- DESIGN: 50% weight (largest phase, most artefacts)
+- DELIVER: 25% weight
+
+## Readiness levels
+
+- 🟢 80-100% — Ready to proceed to next phase
+- 🟡 60-79%  — Gaps exist but manageable; proceed with caution
+- 🟠 40-59%  — Significant gaps; address before proceeding
+- 🔴 0-39%   — Major gaps; phase needs substantial work
+
+## Output format
+
+The ECAL readiness score MUST produce **two layers of output**: (a) the formatted terminal scorecard shown to the user, and (b) the structured YAML file saved to disk. The terminal output is the primary deliverable — the YAML is the backing data. Never produce YAML-only output without the formatted scorecard.
+
+```
+══════════════════════════════════════════
+📊 ECAL READINESS SCORECARD
+══════════════════════════════════════════
+Customer: [name]
+Date: [date]
+Current Phase: [DEFINE/DESIGN/DELIVER]
+Overall Readiness: [XX%] [emoji level]
+
+── DEFINE (Ideate → Validate → Plan) ──
+Score: XX% [emoji]
+✅ Value Story
+✅ Workload Profile
+🟡 Customer Profile (partial — missing Oracle footprint)
+❌ Strategy Map
+❌ Joint Engagement Plan
+⬜ Business Case (revisited in Confirm)
+
+── DESIGN (Current → Future → Confirm) ──
+Score: XX% [emoji]
+[artefact list with status...]
+
+── DELIVER (Adopt → Operate → Improve) ──
+Score: XX% [emoji]
+[artefact list with status...]
+
+── TOP 5 GAPS ──
+1. ❌ [artefact] — [why it matters] — [recommended action]
+2. ...
+
+── RECOMMENDED NEXT ACTIONS ──
+1. [specific action]
+2. [specific action]
+3. [specific action]
+
+── ENGAGEMENT RACI CHECK ──
+Roles identified: [list]
+Roles missing: [list]
+══════════════════════════════════════════
+```
+
+## Files generated
+
+Always list the files saved at the end of the scorecard:
+
+```
+📁 Files saved:
+- examples/<customer>-ecal-scorecard.yaml
+```
+
+## After ECAL scorecard menu
+
+```
+What do you want to do?
+→ [A] Fix the top gap now (I'll generate the missing artefact)
+→ [B] Generate all missing artefacts for current phase
+→ [C] Export scorecard as a slide (.pptx)
+→ [D] Re-score after updates
+```

docs/skill/output-formats.md

@@ -0,0 +1,148 @@
+# Output Formats and Conventions
+
+Referenced from `SKILL.md` § Output Generation.
+
+## Output directory convention
+
+All generated files MUST be saved inside a dedicated output folder per customer/initiative:
+
+```
+examples/output-<customer>-<initiative>/
+```
+
+Examples:
+- `examples/output-meli-im06/` — MELI MySQL engagement
+- `examples/output-meli-im30/` — MELI ElasticSearch engagement
+- `examples/output-acme-migration/` — ACME cloud migration
+
+This folder contains ALL outputs for that engagement: `.pptx`, `.drawio`, `.yaml` specs, `.pdf`, scorecards. The folder is gitignored via `examples/output-*/` — never commit customer data.
+
+YAML spec files (architecture, workload-profile, diagram-spec) are saved IN the output folder, not loose in `examples/`. This keeps everything grouped and portable.
+
+## Format options
+
+Default output is a **slide deck (.pptx)**. The architect can specify:
+
+| Format | Output |
+|--------|--------|
+| `deck` (default) | 10-12 slide presentation, with native OCI PowerPoint diagram when applicable |
+| `deck + drawio` | + editable architecture diagram |
+| `deck + doc` | + technical document (15-25 pages) |
+| `deck + xlsx` | + cost spreadsheet with formulas |
+| `deck + pdf` | + customer-facing PDF (branded, no internal refs) |
+| `pdf` | Customer PDF only |
+| `full` | Everything (pptx + drawio + docx + xlsx + pdf) |
+| `doc only` | Technical document without slides |
+| `deliver` | Handover + go-live checklist + success criteria |
+
+## Slide deck structure
+
+Slide count adapts to engagement tier (6-8 small, 10-12 standard, 12-16 complex):
+
+1. **Title** — customer, project, date (dark background)
+2. **Value Story** — business driver, hypothesis, desired outcomes
+3. **Service Tiering** — workload-to-tier mapping (Platinum/Gold/Silver/Bronze) with SLA, RTO/RPO
+4. **Architecture Principles** — selected ECAL principles (Design/Deployment/Service) that govern the architecture
+5. **Architecture Diagram** — fills 85% of slide; prefer native OCI PowerPoint shapes inside the deck when the architecture is structured enough
+6. **Architecture Decisions** — 4-6 key decisions with rationale
+7. **HA/DR** — topology + RTO/RPO per tier
+8. **Security & Compliance** — controls grid, compliance badges
+9. **Environment Catalogue** — Prod/Pre-Prod/Dev-Test/DR per workload with sizing and isolation
+10. **Cost Estimate** — PAYG vs BYOL table with assumptions (all environments)
+11. **Cost Comparison** (optional) — vs current state or competitor
+12. **Migration Approach** — phased timeline, tools, downtime strategy
+13. **Operational RACI** — responsibility matrix (customer vs Oracle/partner)
+14. **Risk Register** — severity-coded risk table
+15. **Well-Architected Scorecard** — 5-pillar traffic-light indicators
+16. **Next Steps** — concrete SMART actions with dates
+
+Use `tools/oci_deck_gen.py` for generation. Decks should prefer native OCI PowerPoint diagrams over pasted images when the architecture can be rendered from structured input. Colors: teal `#2D5967`, copper `#AA643B`, purple `#804998`. Font: Segoe UI. Design standards: `config/output-formats.yaml`.
+
+## Architecture diagram
+
+Use `tools/oci_diagram_gen.py` with OCI official styles from `kb/diagram/oci-toolkit-styles.yaml` when the user wants an editable technical diagram (`.drawio`). For customer-facing or presentation-ready output, prefer the native PowerPoint path via `tools/oci_deck_gen.py` and the PPTX icon library/index under `kb/diagram/`.
+
+### Standard diagram-generation procedure (MANDATORY)
+
+Follow these steps for every diagram, in order. Skipping a step is the single most common source of layout regressions.
+
+1. **Reference architecture lookup.** Run `python tools/archcenter_pattern_lookup.py "<topology keywords>"` against `kb/architecture-center/catalog.yaml` (123 entries). Pick the highest-scoring entry whose topology matches what the user asked for. The lookup surfaces cached `.drawio` / `.svg` under `kb/diagram/assets/archcenter-refs/<slug>/` — open it to copy proven container nesting, padding, and AD/subnet placement instead of inventing geometry.
+2. **Pre-generation review (per SKILL.md § What You Do NOT Do).** Confirm the component list with the user. Never add services the user did not mention except via the explicit auto-include whitelist.
+3. **Author the spec.** Use `absolute_layout` for ref-arch reproductions or any topology where geometry matters. Honor the geometry rules below (the spec validator enforces them).
+4. **Spec validation runs automatically.** Both `tools/oci_diagram_gen.py` (drawio) and `tools/oci_pptx_diagram_gen.py` (PPTX, called via `oci_deck_gen.py`) call `tools/diagram_spec_validator.py` before emitting any output. A `fail` status raises and aborts generation — fix the geometry, re-run.
+5. **Render.** Generate the `.drawio` and/or `.pptx`. The drawio path additionally runs `drawio_visual_validator.py` post-render to catch anything the spec validator missed (font sizes, off-canvas, duplicate ids).
+6. **Visually verify.** Rasterize the PPTX with `python tools/oci_pptx_render.py --pptx X.pptx --output X.png --width 1600` and inspect the PNG before reporting success.
+
+### Geometry rules for `absolute_layout`
+
+These rules are enforced by `tools/diagram_spec_validator.py` and exist because each one corresponds to a regression that previously shipped to the user:
+
+- **Container padding ≥ 12px.** Every nested container must keep ≥12px between its bottom edge and its parent's bottom edge. Otherwise the borders visually merge (`CONTAINER_PADDING_VIOLATION`).
+- **Subnet height ≥ label band + 12px.** A container labeled at 11pt needs h ≥ ~30px to avoid the label collapsing onto the bottom edge. Public-subnet bands holding an icon need to clear icon height + label band + breathing room (`CONTAINER_TOO_THIN`).
+- **Labels stay inside their parent, ≥ 6px from the bottom edge.** Free-floating labels under a service icon must not cross or sit within 6px of the enclosing subnet's bottom edge (`LABEL_OVERFLOW_PARENT`).
+- **AD columns nest INSIDE the VCN, never beside it.** Otherwise AD borders align with VCN borders and visually merge.
+- **Subnets may span AD columns** (regional public subnet, cross-AD DB subnet) — that is the canonical Oracle pattern for HA topologies; do not split a regional subnet per AD.
+
+### Diagram modes
+
+The diagram generator accepts two spec shapes — but only ONE is acceptable for any output an SA shows a customer:
+
+1. **`absolute_layout` (REQUIRED for any new diagram).** Explicit `(x, y, w, h)` for every container, service, label, and connection. Resolves real OCI stencils from `kb/diagram/oci-icons.json`, runs through `tools/diagram_spec_validator.py` (geometry rules), and produces output visually consistent with Oracle Architecture Center references. **This is the only mode the standard procedure supports.** Pair it with the ref-arch lookup (`tools/archcenter_pattern_lookup.py`) so geometry derives from a canonical Oracle reference, not invented from scratch.
+2. **Workload-driven (DEPRECATED).** `tenancy → region(s) → vcn(s) → subnet(s) → service(s)`. The generator auto-lays out blocks but **does NOT resolve OCI icon stencils** — services render as colored rectangles with text labels, connector text gets baked into edge values (which the connector-label rule forbids), and the spec validator does NOT run. Output looks like a wireframe placeholder, not an architecture diagram. Kept only for back-compat with very old specs; do not author new specs in this shape.
+
+```yaml
+absolute_layout:
+  canvas: {width: 720, height: 420}
+  containers:
+    - {id: region, type: region, label: "OCI Region", x: 0, y: 0, w: 720, h: 420}
+    - {id: vcn, type: vcn, label: "VCN 10.10.0.0/16", x: 28, y: 52, w: 670, h: 348}
+  services:
+    - {id: drg,  label: "", type: drg,  x: 8, y: 200, w: 55, h: 66}
+    - {id: adb,  label: "", type: adb_d, x: 230, y: 240, w: 60, h: 80}
+  labels:
+    - {id: lbl_drg, text: "DRG", x: 8, y: 268, w: 55, h: 14, fontSize: 700}
+  connections:
+    - {id: c1, from: drg, to: adb, type: standard, points: [[63, 233], [260, 240]]}
+```
+
+`fontSize` is shared with the PPTX `absolute_layout` schema — it's hundredths of a point (720 → 7.2pt). The drawio renderer auto-converts.
+
+The Architecture Center reconstruction pipeline lives at `tools/archcenter_case_runner.py` (single case) and `tools/archcenter_batch_driver.py` (batch). Reference: `kb/diagram/reference-layouts/archcenter-batch-runner.yaml`.
+
+### Pre-delivery validation (automatic)
+
+Both generators run sanity checks before the file ships, so a broken artifact never reaches the user:
+
+- **`tools/diagram_spec_validator.py`** — runs automatically *before* either renderer (drawio or PPTX). Validates the parsed `absolute_layout` for `CONTAINER_TOO_THIN`, `CONTAINER_PADDING_VIOLATION`, and `LABEL_OVERFLOW_PARENT`. A fail aborts generation. Set `OCI_DIAGRAM_VALIDATOR_SOFT=1` to demote errors to warnings.
+- **`tools/drawio_visual_validator.py`** — runs automatically inside `OCIDiagramGenerator.save()`. Hard-fails on `fontSize ≥ 50pt` (catches the PPTX-cents-of-pt → drawio-pt unit confusion that produced 700pt labels), duplicate cell ids, off-canvas geometry, and dangling edge endpoints. Reports OK/warnings/errors to stderr. Pass `--strict` on the CLI to make errors fail the build.
+- **`OCIDeckGenerator.save()` post-check** — verifies `[Content_Types].xml` declares a `<Default>` for every embedded media extension (PowerPoint refuses to open a deck and prompts to "repair" it when this is missing — the SVG-backed icons in `OCI_Icons.pptx` are the canonical case), and that no slide rels point to absent media or duplicate cNvPr ids.
+- **`tools/drawio_fidelity_eval.py`** — pixel-diff the rebuilt drawio against a canonical Architecture Center PNG. Runs automatically when the spec carries `source.diagram_asset` (or via `--reference-png` on the CLI). Default rendering path is the SVG companion via `cairosvg` (works in any environment); the rebuilt-drawio path through the actual `draw.io` binary is opt-in via the `DRAWIO_EXE` env var (the binary is not bundled with the skill — install on demand).
+
+CLI usage:
+
+```bash
+# Standard run (validators on by default)
+python tools/oci_diagram_gen.py --spec my-spec.yaml --output out.drawio
+
+# Fail the build if validator finds errors
+python tools/oci_diagram_gen.py --spec my-spec.yaml --output out.drawio --strict
+
+# Fidelity comparison vs canonical PNG
+python tools/oci_diagram_gen.py --spec my-spec.yaml --output out.drawio \
+   --reference-png kb/diagram/reference-layouts/.../canonical.png
+
+# Strict draw.io binary path (opt-in)
+DRAWIO_EXE=/usr/bin/drawio python tools/oci_diagram_gen.py --spec ... --reference-png ...
+```
+
+Skip validators only when intentionally generating a fixture or test: `--no-validate`.
+
+## Service categorization
+
+| Category | Color | Use |
+|----------|-------|-----|
+| **Infrastructure** | Teal `#2D5967` | Compute, OKE, LB, Gateways, WAF, Bastion, Storage, Monitoring |
+| **Database** | Copper `#AA643B` | ADB-S/D, DBCS, ExaCS, MySQL, PostgreSQL, NoSQL, GoldenGate |
+| **Integration** | Purple `#804998` | DRG, Streaming, Queue, OIC, FastConnect, Service Connector Hub |
+| **Dormant** | Light gray `#DFDCD8` | Standby/inactive resources (DR tier) |
+| **Legacy** | Medium gray `#70665E` | Non-OCI systems (MQ Series, legacy middleware) |

docs/skill/wa-review-format.md

@@ -0,0 +1,78 @@
+# WA Review Output Format
+
+This document defines how option 5 (Well-Architected Review) presents its results.
+Referenced from `SKILL.md` § Welcome Flow → Behavior Rules → option 5.
+
+The WA review MUST produce **two layers of output**: (a) the formatted terminal scorecard shown to the user, and (b) the structured YAML files saved to disk. The terminal output is the primary deliverable — the YAML is the backing data. Never produce YAML-only output without the formatted scorecard.
+
+## Terminal scorecard banner
+
+```
+══════════════════════════════════════════════════════
+✅ OCI WELL-ARCHITECTED REVIEW — [Customer Name]
+══════════════════════════════════════════════════════
+Overall: [STATUS] — X/Y checks passed
+HIGH: N │ MEDIUM: N │ LOW: N
+══════════════════════════════════════════════════════
+
+[emoji] SECURITY & COMPLIANCE          X/Y passed
+[emoji] RELIABILITY & RESILIENCE       X/Y passed
+[emoji] PERFORMANCE & COST             X/Y passed
+[emoji] OPERATIONAL EFFICIENCY         X/Y passed
+[emoji] DISTRIBUTED CLOUD              X/Y passed | N/A
+```
+
+Pillar emoji: 🟢 all passed, 🟡 medium gaps only, 🔴 any HIGH gap, ⬜ N/A
+
+## HIGH severity gaps table
+
+Present all HIGH gaps grouped by pillar in a markdown table:
+
+```
+### HIGH severity gaps that must be addressed:
+
+**[Pillar Name] (N HIGH)**
+| ID | Gap | Fix |
+|---|---|---|
+| CHECK-ID | Finding description | Recommended action |
+```
+
+## MEDIUM and LOW gaps
+
+- **MEDIUM gaps:** List as a compact bullet list grouped by pillar (ID + one-line finding + fix). Skip the table format to keep it concise.
+- **LOW gaps:** Mention count only, list individual items only if ≤ 5.
+
+## Analysis section
+
+After the gap tables, add a "Why so many gaps?" paragraph if total gaps > 20, explaining the root cause (e.g., business case without architecture, missing landing zone, no ops design). This contextualizes the score for the SA.
+
+## Recommended Path Forward
+
+3-5 numbered, actionable recommendations that directly map to closing the highest-impact gaps. Reference skill options where applicable (e.g., "Generate the architecture — option 1 or 2").
+
+## Files Generated
+
+Always list the files saved at the end of the review:
+
+```
+📁 Files saved:
+- examples/<customer>-wa-scorecard.yaml
+- examples/<customer>-wa-architecture.yaml
+- examples/<customer>-wa-workload-profile.yaml
+```
+
+## After WA Review menu
+
+```
+What do you want to do?
+→ [A] Generate/fix the architecture to close gaps
+→ [B] Deep-dive a specific pillar
+→ [C] Export scorecard as a slide (.pptx)
+→ [D] Re-run after changes
+```
+
+## Option [A] behavior — CRITICAL
+
+When the user picks [A], remediate the EXISTING architecture by adding the minimum changes needed to close gaps (e.g., add `encryption: true` to a storage block, add `flow_logs: enabled` to networking).
+
+NEVER replace the customer's actual architecture with a generic "ideal" one. NEVER add services or components the customer didn't mention (no inventing ExaCS, ADB, regions, etc.). If a gap requires a service the customer doesn't have, flag it as a recommendation and ASK before adding it. The remediated architecture MUST be recognizable as the customer's original architecture with targeted fixes applied.

evaluations/README.md

@@ -0,0 +1,26 @@
+# Evaluations
+
+Baseline evaluation scenarios for the OCI Deal Accelerator skill, following
+the format recommended in the [Anthropic Agent Skills best practices](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices#build-evaluations-first).
+
+These are **manual evaluations** — there is no automated test runner yet.
+Use them as a regression checklist after non-trivial changes to `SKILL.md`,
+`CLAUDE.md`, or the welcome flow.
+
+## How to run
+
+1. Open a fresh Claude Code conversation in this repo.
+2. For each `*.json` file in this directory:
+   - Read the `query` field — paste it as the user message (or simulate the trigger described in the file).
+   - If `files` is non-empty, attach those files as context.
+   - Observe the assistant's behavior.
+   - Manually verify each item in `expected_behavior` is met.
+3. Note any failures — file an issue or update the skill accordingly.
+
+## Scenarios
+
+| File | Purpose |
+|---|---|
+| `welcome-flow.json` | Greeting → exact 14-option menu (verbatim from SKILL.md) |
+| `full-proposal.json` | Discovery notes → bypass menu, run full proposal flow |
+| `wa-review.json` | WA review request → scorecard format + saved YAML files |

evaluations/full-proposal.json

@@ -0,0 +1,18 @@
+{
+  "skills": ["oci-deal-accelerator"],
+  "query": "Customer: ACME Bank, retail banking, 200 branches across LATAM. Driver: migrating core banking from on-prem Exadata to OCI for cost reduction and DR. Current: 4-node RAC on X8M, ~12 TB DB, 2000 TPS peak, RTO 4h / RPO 15min. Compliance: PCI-DSS, local data residency. Timeline: 6 months. Budget: tight, exploring BYOL. They are also evaluating AWS RDS Custom for Oracle.",
+  "files": [],
+  "expected_behavior": [
+    "Detects this is discovery notes and skips the welcome menu (no 14-option list shown)",
+    "Goes directly into the full proposal flow (option 1 behavior)",
+    "Builds a workload profile reflecting ACME Bank's stated requirements (does NOT invent services they did not mention)",
+    "Recommends an architecture that addresses RTO/RPO, PCI-DSS, data residency, and BYOL — using kb/services/, kb/patterns/, and kb/well-architected/",
+    "Cites at least one Oracle Architecture Center reference architecture from kb/architecture-center/catalog.yaml when there is a strong match",
+    "Generates a slide deck (.pptx) as the primary deliverable, saved to examples/output-acme-bank-*/",
+    "Includes a Cost Estimate slide that distinguishes BYOL vs PAYG using kb/pricing/",
+    "Mentions the AWS RDS Custom for Oracle competitive context honestly using kb/competitive/aws-mapping.yaml",
+    "Does NOT add observability/security services that ACME did not request, beyond what is required for stated compliance",
+    "Asks clarifying questions when input is genuinely ambiguous, instead of inventing answers",
+    "Surfaces relevant gotchas from kb/field-knowledge/ (e.g., Exadata-to-cloud migration risks)"
+  ]
+}

evaluations/wa-review.json

@@ -0,0 +1,20 @@
+{
+  "skills": ["oci-deal-accelerator"],
+  "query": "5",
+  "follow_up": "Single-region OCI architecture: ADB-S 8 ECPU in São Paulo, 2 VM.Standard.E5.Flex web tier behind a public load balancer, Object Storage for media. No backups configured, no FastConnect. Customer: SmallShop, e-commerce, no compliance requirements stated.",
+  "files": [],
+  "expected_behavior": [
+    "After the user picks 5, asks for the architecture description (does not skip to scoring)",
+    "Reads docs/skill/wa-review-format.md before producing the scorecard",
+    "Parses the input into a workload profile YAML and architecture YAML",
+    "Runs scripts/validate-architecture.py with both files",
+    "Produces the formatted terminal scorecard with the exact banner format from docs/skill/wa-review-format.md (5 pillars, X/Y passed, HIGH/MEDIUM/LOW counts)",
+    "Saves three YAML files under examples/: <customer>-wa-scorecard.yaml, <customer>-wa-architecture.yaml, <customer>-wa-workload-profile.yaml",
+    "Lists the saved files at the end of the review",
+    "Identifies the obvious gaps (no backups, no DR, no monitoring, single-AD) as HIGH severity",
+    "Presents HIGH gaps as a markdown table grouped by pillar",
+    "Presents MEDIUM gaps as compact bullets, not a table",
+    "Offers the after-WA-review menu with options [A] [B] [C] [D]",
+    "If the user picks [A], remediates the EXISTING architecture (adds encryption, backups, etc. to the actual services SmallShop has) — does NOT replace it with a generic 'ideal' architecture, does NOT invent services SmallShop did not mention"
+  ]
+}

evaluations/welcome-flow.json

@@ -0,0 +1,16 @@
+{
+  "skills": ["oci-deal-accelerator"],
+  "query": "hola",
+  "files": [],
+  "expected_behavior": [
+    "Reads SKILL.md before showing anything to the user (does not improvise the menu from memory or folder structure)",
+    "Runs python tools/kb_freshness.py --check --json as a pre-flight step",
+    "If freshness reports stale files with refreshable=true, prepends a banner asking the user [y/N] before proceeding",
+    "If freshness reports stale files but none are refreshable, prepends a non-blocking informational banner without asking",
+    "Shows the welcome banner exactly as defined in SKILL.md (no paraphrasing)",
+    "Shows all 14 capability menu options in the correct 6 sections: DESIGN & PROPOSE (1-4), VALIDATE & CHECK (5-7), STRATEGY & BUSINESS (8), KNOWLEDGE BASE (9-11), ECAL GOVERNANCE (12), SA TOOLS (13-14)",
+    "Does NOT invent options that are not in SKILL.md",
+    "Does NOT omit options that are in SKILL.md",
+    "If the freshness tool errors out, falls back to showing the welcome message silently — never blocks the user on tooling failures"
+  ]
+}

examples/adbs-to-adbd-business-case-synthetic.yaml

@@ -0,0 +1,89 @@
+business_case:
+  customer_name: "Synthetic Commerce Co."
+  cover_subtitle: "ADB-S to ADB-D Migration Business Case"
+  prepared_by: "Diego Cabrera"
+  prepared_by_role: "Solutions Architect"
+  date: "2026-05-08"
+  executive_summary: >
+    Synthetic Commerce Co. is evaluating a move from ADB-S to ADB-D for a
+    fraud analytics workload where predictable performance, read-path cleanup,
+    and storage economics are more important than a pure near-term cost takeout.
+  drivers:
+    primary: "Stabilize fraud analytics performance while keeping the business case auditable."
+    urgency: "Validate capacity, TCO crossover, and migration bridge assumptions before procurement."
+  adbs_to_adbd:
+    license_model: BYOL
+    discount_pct: 0.11
+    ecpu_per_db_node: 760
+    current:
+      label: "ADB-S As-Is"
+      workload_ecpu: 2400
+      storage_tb: 96
+      read_architecture: "Refreshable/read clones serve application reads; standby is not the application read path."
+    target:
+      label: "ADB-D Dedicated"
+      workload_ecpu: 2400
+      storage_tb: 96
+      db_nodes: 5
+      storage_servers: 3
+      read_architecture: "Local ADG read-only standby serves application reads; steady-state clones retired."
+    forecasts:
+      - period: "24M"
+        display_label: "Year 2"
+        as_is:
+          workload_ecpu: 3150
+          storage_tb: 128
+        to_be:
+          workload_ecpu: 3150
+          storage_tb: 128
+          db_nodes: 6
+          storage_servers: 3
+      - period: "36M"
+        display_label: "Year 3"
+        as_is:
+          workload_ecpu: 3900
+          storage_tb: 166
+        to_be:
+          workload_ecpu: 3900
+          storage_tb: 166
+          db_nodes: 8
+          storage_servers: 3
+    goldengate:
+      mode: migration_bridge_only
+      ocpus: 4
+      bridge_months: 3
+      bridge_one_time_cost: 0
+    storage_economics:
+      base_break_even_tb: 91
+    business_impact:
+      business_impact_per_hour: 0
+    crossover_chart:
+      y_axis_min: 1.5
+      y_axis_max: 3.5
+      y_axis_major_unit: 0.5
+  roadmap:
+    total_duration: "12 weeks"
+    phases:
+      - name: "Define"
+        duration: "2 weeks"
+        deliverables: ["Baseline current BOM", "Confirm success metrics"]
+      - name: "Design"
+        duration: "4 weeks"
+        deliverables: ["Dedicated capacity plan", "Read-path validation"]
+      - name: "Deliver"
+        duration: "6 weeks"
+        deliverables: ["Migration bridge", "Cutover rehearsal"]
+  recommendation:
+    summary: "Proceed with detailed design for the ADB-D Dedicated target, validating the utilization, storage break-even, and GoldenGate bridge assumptions before final commercial approval."
+    next_steps:
+      - action: "Confirm workload ECPU demand and storage forecast"
+        owner: "Customer"
+        deadline: "Before design sign-off"
+      - action: "Validate ADB-D DB node and storage server reservation"
+        owner: "Oracle"
+        deadline: "Before procurement"
+  deck_validation:
+    forbidden_phrases:
+      - "OCI Annual"
+      - "FTE-year"
+      - "if 4x3 is selected"

examples/output-cli-improvements-deliverables/arch-search-adb-hadr.json

@@ -0,0 +1,378 @@
+[
+  {
+    "title": "Deploy Oracle Autonomous Database on Oracle Database@Azure",
+    "url": "https://docs.oracle.com/en/solutions/deploy-autonomous-database-db-at-azure/index.html",
+    "type": "reference-architecture",
+    "date": "2024-10",
+    "services": [
+      "adb-s",
+      "adg",
+      "azure"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "azure",
+      "ha-dr",
+      "autonomous"
+    ],
+    "summary": "Multi-AZ deployment of ADB-S on Database@Azure with Autonomous Data Guard. Recommends VNet peering between app and DB VNets, TAC for availability, and ADG standby in a different AZ for automatic failover.\n",
+    "terraform": null
+  },
+  {
+    "title": "Oracle MAA for Oracle Database@Azure",
+    "url": "https://docs.oracle.com/en/solutions/oracle-maa-db-at-azure/index.html",
+    "type": "reference-architecture",
+    "date": "2025-05",
+    "services": [
+      "exacs",
+      "adg",
+      "vault",
+      "azure"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "azure",
+      "ha-dr",
+      "autonomous"
+    ],
+    "summary": "Cross-AZ Data Guard on ExaCS in Database@Azure. Active Data Guard recommended for cross-AZ replication (block repair, app continuity, read offload). Backups to Autonomous Recovery Service.\n",
+    "terraform": null
+  },
+  {
+    "title": "Implement disaster recovery with local and regional standbys on Oracle Database@Azure",
+    "url": "https://docs.oracle.com/en/solutions/local-regional-standby-dr-db-at-azure/index.html",
+    "type": "reference-architecture",
+    "date": "2025-05",
+    "services": [
+      "exacs",
+      "adg",
+      "azure",
+      "fsdr"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "azure",
+      "ha-dr"
+    ],
+    "summary": "Local standby for HA within same region, regional standby for DR across Azure regions. Uses Active Data Guard with Fast-Start Failover. Recommends Full Stack DR service for automated failover orchestration.\n",
+    "terraform": null
+  },
+  {
+    "title": "Implement disaster recovery with multi-region standby on Oracle Database@Azure",
+    "url": "https://docs.oracle.com/en/solutions/multi-region-standby-dr-db-at-azure/index.html",
+    "type": "reference-architecture",
+    "date": "2025-04",
+    "services": [
+      "exacs",
+      "adg",
+      "azure"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "azure",
+      "ha-dr"
+    ],
+    "summary": "Multi-region DR for ExaCS on Database@Azure using Data Guard. Cross-region standby with switchover/failover capabilities. Includes network topology for Azure-to-Azure cross-region connectivity.\n",
+    "terraform": null
+  },
+  {
+    "title": "Implement cross-region disaster recovery for Exadata Database on Oracle Database@Azure",
+    "url": "https://docs.oracle.com/en/solutions/exadb-dr-on-db-azure/index.html",
+    "type": "reference-architecture",
+    "date": "2025-01",
+    "services": [
+      "exacs",
+      "adg",
+      "azure",
+      "fsdr"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "azure",
+      "ha-dr"
+    ],
+    "summary": "Cross-region DR for ExaCS on Database@Azure. OCI-managed networks for peering (better performance, first 10 TB/month free). Data Guard for cross-region replication, FSDR for automated failover orchestration.\n",
+    "terraform": "https://github.com/oracle-quickstart/oci-multicloud-azure"
+  },
+  {
+    "title": "Deploy Active Data Guard Far Sync to protect data across Oracle Database@Azure regions",
+    "url": "https://docs.oracle.com/en/solutions/active-data-guard-far-sync-oracle-db-at-azure/index.html",
+    "type": "reference-architecture",
+    "date": "2025-02",
+    "services": [
+      "exacs",
+      "adg",
+      "azure"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "azure",
+      "ha-dr"
+    ],
+    "summary": "Far Sync instance for zero data loss protection across Azure regions. Synchronous redo transport to Far Sync, async to remote standby. Eliminates performance impact of synchronous shipping over long distances.\n",
+    "terraform": null
+  },
+  {
+    "title": "Implement Oracle Database Autonomous Recovery Service with Oracle Database@Azure",
+    "url": "https://docs.oracle.com/en/solutions/implement-recovery-service-db-at-azure/index.html",
+    "type": "reference-architecture",
+    "date": "2025-01",
+    "services": [
+      "exacs",
+      "azure"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "azure",
+      "ha-dr"
+    ],
+    "summary": "Autonomous Recovery Service for ExaCS backups on Database@Azure. Automated backup management with real-time protection and point-in-time recovery capabilities.\n",
+    "terraform": null
+  },
+  {
+    "title": "Deploy Oracle Autonomous Database on Oracle Database@Google Cloud",
+    "url": "https://docs.oracle.com/en/solutions/deploy-adb-db-at-google-cloud/index.html",
+    "type": "reference-architecture",
+    "date": "2025-03",
+    "services": [
+      "adb-s",
+      "adg",
+      "google-cloud"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "ha-dr",
+      "autonomous"
+    ],
+    "summary": "ADB-S on Database@Google Cloud with cross-region ADG. Non-overlapping CIDR between VPC and VCN required. App tier should span 2+ AZs with Google Global Load Balancer for failover.\n",
+    "terraform": null
+  },
+  {
+    "title": "Deploy Active Data Guard Far Sync to protect data across Oracle Database@AWS regions",
+    "url": "https://docs.oracle.com/en/solutions/dr-active-dg-farsync-db-at-aws/index.html",
+    "type": "reference-architecture",
+    "date": "2025-09",
+    "services": [
+      "exacs",
+      "adg",
+      "aws"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "aws",
+      "ha-dr"
+    ],
+    "summary": "Far Sync instance for zero data loss protection across AWS regions. Synchronous redo to local Far Sync, asynchronous to remote standby. Requires cross-region AWS networking for redo transport.\n",
+    "terraform": null
+  },
+  {
+    "title": "Implement disaster recovery with local and regional standbys on Oracle Database@AWS",
+    "url": "https://docs.oracle.com/en/solutions/dr-local-regional-standby-db-at-aws/index.html",
+    "type": "reference-architecture",
+    "date": "2025-09",
+    "services": [
+      "exacs",
+      "adg",
+      "aws",
+      "fsdr"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "aws",
+      "ha-dr"
+    ],
+    "summary": "Local standby for HA within same AWS region, regional standby for DR. Active Data Guard with Fast-Start Failover for automated failover. Full Stack DR service for cross-service failover orchestration.\n",
+    "terraform": null
+  },
+  {
+    "title": "Implement disaster recovery with cross-zonal Data Guard on Oracle Database@AWS",
+    "url": "https://docs.oracle.com/en/solutions/cross-zone-dr-db-at-aws/index.html",
+    "type": "reference-architecture",
+    "date": "2025-08",
+    "services": [
+      "exacs",
+      "adg",
+      "aws"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "aws",
+      "ha-dr"
+    ],
+    "summary": "Cross-AZ Data Guard on Database@AWS for HA. Synchronous redo transport between AZs for zero data loss. Fast-Start Failover for automatic database switchover on failure.\n",
+    "terraform": null
+  },
+  {
+    "title": "Implement disaster recovery with cross-regional Data Guard on Oracle Database@AWS",
+    "url": "https://docs.oracle.com/en/solutions/implement-dr-cross-region-dg-odb-aws/index.html",
+    "type": "reference-architecture",
+    "date": "2025-08",
+    "services": [
+      "exacs",
+      "adg",
+      "aws"
+    ],
+    "tags": [
+      "database",
+      "multicloud",
+      "aws",
+      "ha-dr"
+    ],
+    "summary": "Cross-region Data Guard on Database@AWS for DR. Asynchronous redo transport for cross-region replication. Planned switchover for maintenance, forced failover for disaster scenarios.\n",
+    "terraform": null
+  },
+  {
+    "title": "Migrate Oracle RAC Databases to OCI",
+    "url": "https://docs.oracle.com/en/solutions/ensure-ha-migrate-vmware-workloads-to-oci/migrate-oracle-rac-databases1.html",
+    "type": "reference-architecture",
+    "date": "2025-01",
+    "services": [
+      "exacs",
+      "exascale",
+      "adb-d",
+      "base-db"
+    ],
+    "tags": [
+      "database",
+      "migration",
+      "ha-dr"
+    ],
+    "summary": "Compares 4 RAC migration targets: ExaCS Dedicated, Exascale, ADB-D, and 2-node RAC on Base DB. ExaCS recommended for full RAC feature parity. Exascale for 23ai-only without dedicated infra commitment.\n",
+    "terraform": null
+  },
+  {
+    "title": "Deploy ORDS with High Availability on OCI",
+    "url": "https://docs.oracle.com/en/solutions/deploy-ords-ha-oci/index.html",
+    "type": "reference-architecture",
+    "date": "2025-06",
+    "services": [
+      "compute",
+      "load-balancer",
+      "adb-s",
+      "bastion"
+    ],
+    "tags": [
+      "database",
+      "application",
+      "ha-dr"
+    ],
+    "summary": "Multi-instance ORDS behind OCI Load Balancer for HA REST access to Oracle DB. Works with ADB-S, DBCS, or ExaCS. Recommends DB in private subnet, ORDS in public with granular NSG rules.\n",
+    "terraform": null
+  },
+  {
+    "title": "Configure Data Guard for Oracle Exadata Database Service on Dedicated Infrastructure",
+    "url": "https://docs.oracle.com/en/solutions/dataguard-exadata-dedicated-infrastructure/index.html",
+    "type": "reference-architecture",
+    "date": "2025-07",
+    "services": [
+      "exacs",
+      "adg"
+    ],
+    "tags": [
+      "database",
+      "ha-dr"
+    ],
+    "summary": "Data Guard configuration for ExaCS Dedicated. Active Data Guard for read offload and automatic failover. Cross-region standby for DR with Fast-Start Failover for automated switchover.\n",
+    "terraform": null
+  },
+  {
+    "title": "Back up from Exadata on Dedicated Infrastructure to Zero Data Loss Autonomous Recovery",
+    "url": "https://docs.oracle.com/en/solutions/back-up-exadata-dedicated-zero-data-loss-recovery/index.html",
+    "type": "reference-architecture",
+    "date": "2025-07",
+    "services": [
+      "exacs"
+    ],
+    "tags": [
+      "database",
+      "ha-dr"
+    ],
+    "summary": "Autonomous Recovery Service for ExaCS backups. Automated backup management with real-time redo protection. Validates backup recoverability automatically.\n",
+    "terraform": null
+  },
+  {
+    "title": "Configure a standby database for disaster recovery using Oracle Exadata Database Service on Cloud@Customer",
+    "url": "https://docs.oracle.com/en/solutions/exadata-cloud-at-customer-standby/index.html",
+    "type": "reference-architecture",
+    "date": "2025-07",
+    "services": [
+      "exacs",
+      "adg"
+    ],
+    "tags": [
+      "database",
+      "ha-dr"
+    ],
+    "summary": "Data Guard standby on ExaCS Cloud@Customer for hybrid DR. On-premises primary with cloud standby, or cloud primary with on-premises standby for data sovereignty requirements.\n",
+    "terraform": null
+  },
+  {
+    "title": "Learn about maximum availability architecture for PeopleSoft",
+    "url": "https://docs.oracle.com/en/solutions/learn-about-maa-for-peoplesoft/index.html",
+    "type": "reference-architecture",
+    "date": "2024-08",
+    "services": [
+      "exacs",
+      "adg",
+      "load-balancer",
+      "compute"
+    ],
+    "tags": [
+      "application",
+      "ha-dr",
+      "peoplesoft"
+    ],
+    "summary": "MAA for PeopleSoft on OCI. Active Data Guard for database HA/DR, multi-instance PIA behind Load Balancer, Process Scheduler on multiple nodes for batch processing resilience.\n",
+    "terraform": null
+  },
+  {
+    "title": "Provision and deploy a maximum availability solution for PeopleSoft on Oracle Cloud",
+    "url": "https://docs.oracle.com/en/solutions/deploy-maa-for-peoplesoft-on-oci/index.html",
+    "type": "reference-architecture",
+    "date": "2024-08",
+    "services": [
+      "exacs",
+      "adg",
+      "load-balancer",
+      "compute"
+    ],
+    "tags": [
+      "application",
+      "ha-dr",
+      "peoplesoft"
+    ],
+    "summary": "Step-by-step PeopleSoft MAA deployment on OCI. Terraform stacks for infrastructure provisioning, Data Guard configuration, and PeopleSoft application tier setup.\n",
+    "terraform": null
+  },
+  {
+    "title": "Run PeopleSoft ERP and Autonomous Database in an HA multicloud deployment",
+    "url": "https://docs.oracle.com/en/solutions/bread-multicloud-on-oci/index.html",
+    "type": "reference-architecture",
+    "date": "2025-02",
+    "services": [
+      "adb-s",
+      "compute",
+      "load-balancer"
+    ],
+    "tags": [
+      "application",
+      "ha-dr",
+      "multicloud",
+      "peoplesoft",
+      "autonomous"
+    ],
+    "summary": "PeopleSoft HA with ADB-S across cloud providers. Application tier on OCI compute with database on ADB-S. Multi-AZ deployment for high availability with automatic failover.\n",
+    "terraform": null
+  }
+]

examples/output-cli-improvements-deliverables/architecture.drawio

@@ -0,0 +1,195 @@
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examples/output-cli-improvements-deliverables/ecal-score-full.json

@@ -0,0 +1,175 @@
+{
+  "summary": {
+    "total_artefacts": 18,
+    "mentioned": 3,
+    "likely_relevant": 1,
+    "possibly_relevant": 5,
+    "not_covered": 9,
+    "skill_auto_generate": 5,
+    "skill_assist": 3
+  },
+  "artefacts": [
+    {
+      "id": "DEF-01",
+      "name": "Customer Profile",
+      "phase": "define",
+      "step": "ideate",
+      "skill_support": "assist",
+      "customer_facing": false,
+      "relevance": "mentioned"
+    },
+    {
+      "id": "DEF-02",
+      "name": "Strategy Map",
+      "phase": "define",
+      "step": "ideate",
+      "skill_support": "assist",
+      "customer_facing": false,
+      "relevance": "mentioned"
+    },
+    {
+      "id": "DEF-03",
+      "name": "Point of View (PoV)",
+      "phase": "define",
+      "step": "ideate",
+      "skill_support": "auto_generate",
+      "customer_facing": false,
+      "relevance": "possibly_relevant"
+    },
+    {
+      "id": "DEF-04",
+      "name": "Ideation Workshop",
+      "phase": "define",
+      "step": "ideate",
+      "skill_support": "reference",
+      "customer_facing": true,
+      "relevance": "none"
+    },
+    {
+      "id": "DEF-05",
+      "name": "Business Case",
+      "phase": "define",
+      "step": "ideate",
+      "skill_support": "auto_generate",
+      "customer_facing": true,
+      "relevance": "mentioned"
+    },
+    {
+      "id": "DEF-06",
+      "name": "Value Story",
+      "phase": "define",
+      "step": "ideate",
+      "skill_support": "auto_generate",
+      "customer_facing": true,
+      "relevance": "possibly_relevant"
+    },
+    {
+      "id": "DEF-07",
+      "name": "Value Story Delivery",
+      "phase": "define",
+      "step": "validate",
+      "skill_support": "assist",
+      "customer_facing": true,
+      "relevance": "possibly_relevant"
+    },
+    {
+      "id": "DEF-08",
+      "name": "Joint Engagement Plan (JEP)",
+      "phase": "define",
+      "step": "plan",
+      "skill_support": "auto_generate",
+      "customer_facing": true,
+      "relevance": "none"
+    },
+    {
+      "id": "DES-35",
+      "name": "Solution Proposal",
+      "phase": "design",
+      "step": "confirm",
+      "skill_support": "auto_generate",
+      "customer_facing": true,
+      "relevance": "possibly_relevant"
+    },
+    {
+      "id": "DES-36",
+      "name": "Partner / Services Proposal",
+      "phase": "design",
+      "step": "confirm",
+      "skill_support": "reference",
+      "customer_facing": true,
+      "relevance": "none"
+    },
+    {
+      "id": "DES-37",
+      "name": "RFx Response",
+      "phase": "design",
+      "step": "confirm",
+      "skill_support": "reference",
+      "customer_facing": true,
+      "relevance": "possibly_relevant"
+    },
+    {
+      "id": "DES-38",
+      "name": "Commercial Agreement",
+      "phase": "design",
+      "step": "confirm",
+      "skill_support": "reference",
+      "customer_facing": true,
+      "relevance": "none"
+    },
+    {
+      "id": "DEL-17",
+      "name": "Cloud Operating Framework",
+      "phase": "deliver",
+      "step": "operate",
+      "skill_support": "reference",
+      "customer_facing": true,
+      "relevance": "none"
+    },
+    {
+      "id": "DEL-18",
+      "name": "OCI Operationalization Framework",
+      "phase": "deliver",
+      "step": "operate",
+      "skill_support": "reference",
+      "customer_facing": true,
+      "relevance": "none"
+    },
+    {
+      "id": "DEL-19",
+      "name": "Retrospective",
+      "phase": "deliver",
+      "step": "improve",
+      "skill_support": "auto_generate",
+      "customer_facing": false,
+      "relevance": "none"
+    },
+    {
+      "id": "DEL-20",
+      "name": "Value Realization",
+      "phase": "deliver",
+      "step": "improve",
+      "skill_support": "auto_generate",
+      "customer_facing": true,
+      "relevance": "likely_relevant"
+    },
+    {
+      "id": "DEL-21",
+      "name": "Customer Success Story",
+      "phase": "deliver",
+      "step": "improve",
+      "skill_support": "reference",
+      "customer_facing": true,
+      "relevance": "none"
+    },
+    {
+      "id": "DEL-22",
+      "name": "Improvement Actions",
+      "phase": "deliver",
+      "step": "improve",
+      "skill_support": "reference",
+      "customer_facing": true,
+      "relevance": "none"
+    }
+  ]
+}

examples/output-cli-improvements-deliverables/findings-search-adb.json

@@ -0,0 +1,125 @@
+[
+  {
+    "id": "FF-202603-008",
+    "date": "2026-03-14",
+    "contributor": {
+      "name": "Diego Cabrera",
+      "team": "Field Architecture",
+      "client": "Vector Search Customer",
+      "context": "AI Vector Search engagement",
+      "confidence": "validated"
+    },
+    "product": "ADB-S",
+    "version": "23ai",
+    "severity": "HIGH",
+    "category": "limitation",
+    "summary": "Distributed HNSW indexes not available \u2014 100M+ vector search requires partitioning workaround",
+    "detail": "ADB-S AI Vector Search supports HNSW indexes but they are node-local on\nmulti-node RAC (\u226564 ECPUs). At 100M+ vectors, queries on a 2-node RAC\nmiss vectors on the other node. Results are either incomplete or require\ncross-node scan that blows P95 >200ms.\n\nWorkaround from internal DB PM team: hash-partition vector table on\nvector_id, create partition-local HNSW index. Queries hit single\npartition on single node, maintaining <50ms at 100M scale.\n\nRequires table redesign \u2014 cannot be applied to existing unpartitioned\nvector tables without data reload.\n",
+    "workaround": "Hash-partition vector table by vector_id. Create HNSW index as LOCAL\n(partition-level). Ensure partition pruning in queries.\nSource: internal DB PM team contact [name].\nValidated on ADB-S 23ai with 120M vectors, P95 = 38ms on 64 ECPU.\n",
+    "oracle_sr": "",
+    "status": "acknowledged",
+    "resolved_date": null,
+    "resolution": null,
+    "affects_matrix": "AI Vector Search (HNSW)",
+    "tags": [
+      "vector-search",
+      "hnsw",
+      "distributed",
+      "rac",
+      "partitioning",
+      "100m",
+      "latency",
+      "ai-vector-search"
+    ]
+  },
+  {
+    "id": "FF-202603-002",
+    "date": "2026-03-08",
+    "contributor": {
+      "name": "Diego Cabrera",
+      "team": "Field Architecture",
+      "client": "Strategic Migration Customer",
+      "context": "Production migration",
+      "confidence": "validated"
+    },
+    "product": "ADB-S Dedicated Elastic Pool (DEP)",
+    "version": "23ai",
+    "severity": "HIGH",
+    "category": "limitation",
+    "summary": "ADG must be disabled before joining Dedicated Elastic Pool",
+    "detail": "When attempting to add an ADB-S instance with active Autonomous Data Guard\nto a Dedicated Elastic Pool, the operation fails. ADG must be explicitly\ndisabled before the instance can join the DEP. This is a known issue\nacknowledged by Oracle but not prominently documented.\n\nImpact: requires a brief HA gap during DEP onboarding. Must coordinate\nwith the customer's change window.\n",
+    "workaround": "Disable ADG \u2192 join DEP \u2192 re-enable ADG. Plan for ~15 min HA gap.",
+    "oracle_sr": "",
+    "status": "acknowledged",
+    "resolved_date": null,
+    "resolution": null,
+    "affects_matrix": "Elastic Pool Membership",
+    "tags": [
+      "dep",
+      "adg",
+      "elastic-pool",
+      "ha",
+      "limitation"
+    ]
+  },
+  {
+    "id": "FF-202603-004",
+    "date": "2026-03-01",
+    "contributor": {
+      "name": "Diego Cabrera",
+      "team": "Field Architecture",
+      "client": "Strategic Migration Customer",
+      "context": "Production migration",
+      "confidence": "validated"
+    },
+    "product": "ADB-S",
+    "version": "23ai",
+    "severity": "MEDIUM",
+    "category": "gotcha",
+    "summary": "DEP provisioning takes days to weeks depending on capacity",
+    "detail": "Dedicated Elastic Pool provisioning is NOT instant like ADB-S Serverless.\nIt requires physical Exadata infrastructure allocation. Lead time varies\nfrom 3 days (if capacity available in region) to 2-3 weeks (if capacity\nneeds to be provisioned).\n\nBilling starts only at AVAILABLE state, not at request time.\nCo-location of existing ADB-S instances happens at the next maintenance\nwindow after joining, not immediately.\n",
+    "workaround": "Request DEP early in the project timeline. Don't make it a critical-path dependency in week 1.",
+    "oracle_sr": "",
+    "status": "acknowledged",
+    "resolved_date": null,
+    "resolution": null,
+    "affects_matrix": "Elastic Pool Membership",
+    "tags": [
+      "dep",
+      "provisioning",
+      "lead-time",
+      "capacity",
+      "planning"
+    ]
+  },
+  {
+    "id": "FF-202603-007",
+    "date": "2026-02-10",
+    "contributor": {
+      "name": "Diego Cabrera",
+      "team": "Field Architecture",
+      "client": "Pepe SRL",
+      "context": "Discovery engagement",
+      "confidence": "validated"
+    },
+    "product": "ADB-S",
+    "version": "23ai",
+    "severity": "INFO",
+    "category": "gotcha",
+    "summary": "ADB-S Serverless RAC node split threshold at 64 ECPUs",
+    "detail": "ADB-S Serverless runs on 1 RAC node at \u226424 ECPUs and splits to 2 nodes\nat 64 ECPUs (16 cpu_count each). The gv$instance view only shows nodes\nwhere the PDB is open.\n\nThis affects connection pooling behavior and session distribution.\nApplications should use UCP or JDBC connection pool with FAN events\nto handle the multi-node scenario properly.\n",
+    "workaround": "Ensure connection pool configuration handles multi-node. Use UCP with FAN.",
+    "oracle_sr": "",
+    "status": "acknowledged",
+    "resolved_date": null,
+    "resolution": null,
+    "affects_matrix": null,
+    "tags": [
+      "adb-s",
+      "rac",
+      "ecpu",
+      "node-split",
+      "connection-pooling"
+    ]
+  }
+]

examples/output-cli-improvements-deliverables/findings-stats.json

@@ -0,0 +1,26 @@
+{
+  "total": 8,
+  "by_severity": {
+    "HIGH": 2,
+    "MEDIUM": 4,
+    "LOW": 1,
+    "INFO": 1
+  },
+  "by_product": {
+    "ADB-S": 4,
+    "OCI CLI": 1,
+    "ADB-S Dedicated Elastic Pool (DEP)": 2,
+    "OCI DMS": 1
+  },
+  "by_status": {
+    "acknowledged": 5,
+    "open": 2,
+    "monitoring": 1
+  },
+  "by_category": {
+    "limitation": 3,
+    "bug": 1,
+    "undocumented": 1,
+    "gotcha": 3
+  }
+}

examples/output-cli-improvements-deliverables/kb-search-adb.json

@@ -0,0 +1,206 @@
+[
+  {
+    "file": "kb/architecture-center/catalog.yaml",
+    "matches": [
+      {
+        "line": 25,
+        "text": "- title: \"Deploy Oracle Autonomous Database on Oracle Database@Azure\""
+      },
+      {
+        "line": 267,
+        "text": "- title: \"Deploy Oracle Autonomous Database on Oracle Database@Google Cloud\""
+      },
+      {
+        "line": 427,
+        "text": "- title: \"Migrate on-premises Oracle Database to Autonomous Database\""
+      },
+      {
+        "line": 463,
+        "text": "- title: \"Migrate a PeopleSoft database to Oracle Autonomous Database\""
+      },
+      {
+        "line": 623,
+        "text": "- title: \"Move Oracle Forms applications to Oracle APEX on an Oracle Autonomous "
+      },
+      {
+        "line": 635,
+        "text": "- title: \"Stream Kafka topics to Oracle Autonomous Database using Oracle Integra"
+      },
+      {
+        "line": 795,
+        "text": "- title: \"Implement Oracle Data Safe for Exadata and Autonomous Databases\""
+      },
+      {
+        "line": 1140,
+        "text": "- title: \"Deploy a microservices-based application in Kubernetes connected to an"
+      },
+      {
+        "line": 1226,
+        "text": "- title: \"Deploy JD Edwards EnterpriseOne with Oracle Autonomous Database on Ded"
+      },
+      {
+        "line": 1262,
+        "text": "- title: \"Run PeopleSoft ERP and Autonomous Database in an HA multicloud deploym"
+      }
+    ]
+  },
+  {
+    "file": "kb/competitive/aws-mapping.yaml",
+    "matches": [
+      {
+        "line": 32,
+        "text": "- \"Autonomous Database \u2014 no equivalent in AWS\""
+      },
+      {
+        "line": 81,
+        "text": "- \"Data Safe included free for Autonomous Database\""
+      }
+    ]
+  },
+  {
+    "file": "kb/competitive/common-objections.yaml",
+    "matches": [
+      {
+        "line": 12,
+        "text": "- Only cloud with Autonomous Database"
+      }
+    ]
+  },
+  {
+    "file": "kb/patterns/database-ha-adb-s.yaml",
+    "matches": [
+      {
+        "line": 2,
+        "text": "# Composable architecture block for Autonomous Database Serverless HA"
+      },
+      {
+        "line": 10,
+        "text": "Autonomous Database Serverless (ADB-S) provides built-in high availability throu"
+      }
+    ]
+  },
+  {
+    "file": "kb/pricing/oci-sku-catalog.yaml",
+    "matches": [
+      {
+        "line": 462,
+        "text": "display_name: Oracle Cloud Infrastructure - Autonomous Database & Exadata"
+      },
+      {
+        "line": 465,
+        "text": "product: Oracle Autonomous Database (ATP or ADW) - ECPU (2 ECPU minimum)"
+      },
+      {
+        "line": 471,
+        "text": "product: Oracle Autonomous Database (ATP or ADW) - BYOL ECPU (2 ECPU minimum)"
+      },
+      {
+        "line": 477,
+        "text": "product: Oracle Autonomous Database Storage for Transaction Processing (ATP), us"
+      },
+      {
+        "line": 483,
+        "text": "product: Oracle Autonomous Database Storage for Data Warehouse (ADW), using ECPU"
+      },
+      {
+        "line": 489,
+        "text": "product: Oracle Autonomous Database Backup Storage (ATP or ADW), using ECPU"
+      }
+    ]
+  },
+  {
+    "file": "kb/services/adb-dedicated.yaml",
+    "matches": [
+      {
+        "line": 3,
+        "text": "service: Autonomous Database Dedicated (ADB-D)"
+      },
+      {
+        "line": 8,
+        "text": "what: Autonomous Database on dedicated Exadata infrastructure. Provides isolatio"
+      }
+    ]
+  },
+  {
+    "file": "kb/services/adb-elastic-pool.yaml",
+    "matches": [
+      {
+        "line": 3,
+        "text": "service: Autonomous Database Serverless Elastic Pool"
+      }
+    ]
+  },
+  {
+    "file": "kb/services/adb-serverless.yaml",
+    "matches": [
+      {
+        "line": 1,
+        "text": "# OCI Service: Autonomous Database Serverless (ADB-S)"
+      },
+      {
+        "line": 5,
+        "text": "name: \"Autonomous Database Serverless (ADB-S)\""
+      },
+      {
+        "line": 38,
+        "text": "name: \"Autonomous Database Serverless (ADB-S)\""
+      },
+      {
+        "line": 47,
+        "text": "name: \"Autonomous Database on Dedicated Exadata (ADB-D)\""
+      }
+    ]
+  },
+  {
+    "file": "kb/services/database-at-aws.yaml",
+    "matches": [
+      {
+        "line": 32,
+        "text": "notes: \"Autonomous Database on dedicated Exadata \u2014 NOT serverless\""
+      },
+      {
+        "line": 37,
+        "text": "- name: \"Autonomous Database Serverless (ADB-S)\""
+      }
+    ]
+  },
+  {
+    "file": "kb/services/exadata-cloud.yaml",
+    "matches": [
+      {
+        "line": 20,
+        "text": "- \"Small workloads under 16 OCPUs \u2014 use Autonomous Database Serverless (ADB-S) o"
+      }
+    ]
+  },
+  {
+    "file": "kb/services/oci-networking-core.yaml",
+    "matches": [
+      {
+        "line": 46,
+        "text": "description: \"Private pathway from a VCN to supported OCI services (e.g., Object"
+      },
+      {
+        "line": 84,
+        "text": "description: \"Resources in private subnets cannot reach OCI services (Object Sto"
+      }
+    ]
+  },
+  {
+    "file": "kb/well-architected/security-compliance.yaml",
+    "matches": [
+      {
+        "line": 148,
+        "text": "description: \"Private endpoints for Autonomous Database\""
+      },
+      {
+        "line": 150,
+        "text": "pass_if: \"Autonomous Database configured with private endpoints\""
+      },
+      {
+        "line": 151,
+        "text": "gap_if: \"Autonomous Database using public endpoints\""
+      }
+    ]
+  }
+]

examples/output-cli-improvements-deliverables/opt06-feature-auto-indexing.json

@@ -0,0 +1,50 @@
+[
+  {
+    "feature": "Auto Indexing",
+    "category": "auto_management",
+    "compatibility": [
+      {
+        "deployment": "ADB-S Serverless",
+        "version": "23ai",
+        "status": "GA_CAVEAT",
+        "notes": "Creates indexes HIDDEN by default. Instantly reversible. DML costing prevents over-indexing. Deduplication with manually created indexes."
+      },
+      {
+        "deployment": "ADB-S Serverless",
+        "version": "26ai",
+        "status": "GA",
+        "notes": "Improved in 26ai \u2014 better cost model, fewer false positives."
+      },
+      {
+        "deployment": "ADB-S Elastic Pool",
+        "version": "23ai",
+        "status": "GA_CAVEAT",
+        "notes": "Same as ADB-S Serverless."
+      },
+      {
+        "deployment": "ADB Dedicated Elastic Pool (DEP)",
+        "version": "23ai",
+        "status": "GA_CAVEAT",
+        "notes": "Available but less tested in DEP."
+      },
+      {
+        "deployment": "ADB on Dedicated Exadata",
+        "version": "23ai",
+        "status": "GA",
+        "notes": "Fully supported."
+      },
+      {
+        "deployment": "Exadata Cloud Service",
+        "version": "23ai",
+        "status": "NOT_AVAIL",
+        "notes": "Not an ADB feature. Use manual indexing."
+      },
+      {
+        "deployment": "Base DB Service (EE)",
+        "version": "23ai",
+        "status": "NOT_AVAIL",
+        "notes": ""
+      }
+    ]
+  }
+]

examples/output-cli-improvements-deliverables/opt06-feature-vector-search.json

@@ -0,0 +1,86 @@
+[
+  {
+    "feature": "AI Vector Search (HNSW)",
+    "category": "developer",
+    "compatibility": [
+      {
+        "deployment": "ADB-S Serverless",
+        "version": "23ai",
+        "status": "GA_CAVEAT",
+        "notes": "HNSW indexes are node-local on multi-node RAC. Works well up to\n~50M vectors on single node (\u226424 ECPUs). At 100M+ on multi-node\n(\u226564 ECPUs), requires hash-partitioned vector table with LOCAL\nHNSW index for <50ms P95. See FF-202603-008.\n"
+      },
+      {
+        "deployment": "ADB-S Serverless",
+        "version": "26ai",
+        "status": "UNTESTED",
+        "notes": "Check if distributed HNSW is added in 26ai. Expected to remain node-local."
+      },
+      {
+        "deployment": "ADB-S Elastic Pool",
+        "version": "23ai",
+        "status": "GA_CAVEAT",
+        "notes": "Same node-local limitation as ADB-S Serverless."
+      },
+      {
+        "deployment": "ADB on Dedicated Exadata",
+        "version": "23ai",
+        "status": "GA_CAVEAT",
+        "notes": "Same limitation. Dedicated infra doesn't change HNSW locality."
+      },
+      {
+        "deployment": "Exadata Cloud Service",
+        "version": "23ai",
+        "status": "GA_CAVEAT",
+        "notes": "RAC with HNSW has same node-local constraint. Partitioning workaround applies."
+      },
+      {
+        "deployment": "Base DB Service (EE)",
+        "version": "23ai",
+        "status": "NOT_AVAIL",
+        "notes": "AI Vector Search requires 23ai. Available in EE but HNSW performance limited without Exadata storage."
+      }
+    ]
+  },
+  {
+    "feature": "AI Vector Search (IVF)",
+    "category": "developer",
+    "compatibility": [
+      {
+        "deployment": "ADB-S Serverless",
+        "version": "23ai",
+        "status": "GA",
+        "notes": "IVF (Inverted File) indexes ARE distributed across RAC nodes.\nWorks at 100M+ scale without partitioning. However, IVF has\nlower recall than HNSW at same latency budget. Trade-off:\nIVF for scale without redesign, HNSW+partitioning for best recall.\n"
+      },
+      {
+        "deployment": "ADB-S Serverless",
+        "version": "26ai",
+        "status": "UNTESTED",
+        "notes": ""
+      },
+      {
+        "deployment": "ADB-S Elastic Pool",
+        "version": "23ai",
+        "status": "GA",
+        "notes": "Same as ADB-S Serverless."
+      },
+      {
+        "deployment": "ADB on Dedicated Exadata",
+        "version": "23ai",
+        "status": "GA",
+        "notes": ""
+      },
+      {
+        "deployment": "Exadata Cloud Service",
+        "version": "23ai",
+        "status": "GA",
+        "notes": "IVF distributed across RAC nodes. Exadata storage accelerates scans."
+      },
+      {
+        "deployment": "Base DB Service (EE)",
+        "version": "23ai",
+        "status": "NOT_AVAIL",
+        "notes": "AI Vector Search requires 23ai. Available in EE but performance limited without Exadata."
+      }
+    ]
+  }
+]

examples/output-cli-improvements-deliverables/opt07-competitive-adb-vs-aws-azure.json

@@ -0,0 +1,46 @@
+{
+  "query": "ADB-S vs AWS Aurora / Azure SQL",
+  "aws_database_mappings": [],
+  "azure_database_mappings": [
+    {
+      "oci": "ADB-S",
+      "azure": "Azure SQL Managed Instance / Azure Database for PostgreSQL",
+      "oci_advantage": "ADB-S runs actual Oracle Database. Azure SQL MI is SQL Server only.\nNo native Oracle database service on Azure.\nOracle on Azure VMs loses Exadata performance and autonomous operations.\n",
+      "azure_advantage": "Native SQL Server support if migrating from SQL Server."
+    },
+    {
+      "oci": "ExaCS",
+      "azure": "Oracle Database@Azure (ExaCS in Azure datacenters)",
+      "notes": "Oracle Database@Azure is ExaCS running in Azure datacenters with\ndirect connectivity to Azure services. Available in select regions.\nThis is a partnership offering, not a competitive comparison.\n"
+    }
+  ],
+  "common_objections": [
+    {
+      "id": "OBJ-001",
+      "category": "market",
+      "objection": "OCI is a niche cloud \u2014 AWS/Azure are the leaders",
+      "response": "OCI is the #4 cloud globally and growing fastest in database PaaS.\nFor Oracle database workloads specifically, OCI is the leader:\n- Only cloud with Exadata hardware\n- Only cloud with Autonomous Database\n- Best Oracle license portability\nThe question isn't \"best cloud overall\" but \"best cloud for this workload.\"\n",
+      "evidence": "Gartner, IDC reports on cloud database market"
+    },
+    {
+      "id": "OBJ-002",
+      "category": "risk",
+      "objection": "What if Oracle EOLs or changes OCI pricing?",
+      "response": "OCI pricing has only decreased since launch. Oracle's cloud investment\nis $50B+ in CapEx. OCI is Oracle's strategic platform \u2014 not a side project.\nContractual pricing protection exists via Annual Flex and Universal Credits.\n",
+      "mitigation": "Use annual flex contracts with pricing guarantees"
+    },
+    {
+      "id": "OBJ-003",
+      "category": "skills",
+      "objection": "Our team has no OCI experience",
+      "response": "ADB-S reduces DBA workload by 80% (no patching, tuning, scaling).\nOCI console follows familiar cloud patterns. Terraform provider is mature.\nOracle provides free training and certification. Typical ramp-up is 2-4 weeks.\n",
+      "mitigation": "Include training budget in migration plan"
+    },
+    {
+      "id": "OBJ-004",
+      "category": "features",
+      "objection": "OCI doesn't have as many services as AWS",
+      "response": "True for breadth (AWS has 200+ services). For database and enterprise\nworkloads, OCI feature parity is strong. Key services are GA:\n- Compute, networking, storage, Kubernetes, serverless\n- Monitoring, logging, IAM, security\n- Queue, Streaming, API Gateway\nWhat matters is whether OCI has what *you* need, not a raw count.\n"
+    }
+  ]
+}

examples/output-cli-improvements-deliverables/opt11-finding-verify.json

@@ -0,0 +1,33 @@
+[
+  {
+    "id": "FF-202604-001",
+    "date": "2026-04-12",
+    "contributor": {
+      "name": "Test SA",
+      "team": "Validation",
+      "date": "2026-04-12",
+      "confidence": "observed",
+      "client": "Test Client",
+      "context": "CLI validation"
+    },
+    "reported_by": "Test SA",
+    "product": "OCI Queue",
+    "version": "GA",
+    "severity": "LOW",
+    "category": "gotcha",
+    "summary": "Queue message visibility timeout resets on failed processing \u2014 must handle idempotently",
+    "detail": "When a consumer fails to process a message within the visibility timeout, the message becomes visible again. If the consumer partially processed it, you get duplicate processing.",
+    "workaround": "Implement idempotent consumers. Use message deduplication ID.",
+    "oracle_sr": "",
+    "status": "open",
+    "resolved_date": null,
+    "resolution": null,
+    "affects_matrix": null,
+    "tags": [
+      "queue",
+      "messaging",
+      "idempotency"
+    ],
+    "confirmations": []
+  }
+]

examples/output-cli-improvements-deliverables/opt11-report-finding.txt

@@ -0,0 +1,5 @@
+WARNING: Unknown tag 'queue'. Not in taxonomy.
+WARNING: Unknown tag 'messaging'. Did you mean 'sizing'?
+WARNING: Unknown tag 'idempotency'. Did you mean 'latency'?
+
+Added: FF-202604-001  [LOW]  Queue message visibility timeout resets on failed processing — must handle idempotently

examples/output-cli-improvements-deliverables/wa-scorecard-no-profile.yaml

@@ -0,0 +1,174 @@
+well_architected_scorecard:
+  overall_status: GAPS_IDENTIFIED
+  generated_date: '2026-04-12T21:26:00.300204'
+  architecture_name: examples/meli-kvs-wa-architecture.yaml
+  customer: Unknown
+  summary:
+    total_checks: 23
+    total_passed: 18
+    total_gaps: 5
+    high_severity_gaps: 2
+    medium_severity_gaps: 1
+    low_severity_gaps: 2
+  pillars:
+    security_compliance:
+      status: GAPS_IDENTIFIED
+      checks_passed: 12
+      checks_total: 15
+      categories:
+        identity_access:
+          passed: 3
+          total: 4
+          gaps:
+          - check_id: SEC-IAM-003
+            area: Identity & Access
+            finding: no mention of admin account restrictions
+            severity: HIGH
+            recommendation: separate admin groups defined for operations
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+        resource_isolation:
+          passed: 3
+          total: 3
+          gaps: []
+        database_security:
+          passed: 0
+          total: 0
+          gaps: []
+        data_protection:
+          passed: 1
+          total: 2
+          gaps:
+          - check_id: SEC-DAT-001
+            area: Data Protection
+            finding: any storage service without encryption at rest
+            severity: HIGH
+            recommendation: encryption at rest specified for all storage services
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+        network_security:
+          passed: 3
+          total: 3
+          gaps: []
+        monitoring_audit:
+          passed: 2
+          total: 3
+          gaps:
+          - check_id: SEC-MON-003
+            area: Monitoring & Audit
+            finding: no VCN Flow Logs configured
+            severity: MEDIUM
+            recommendation: VCN Flow Logs enabled for critical subnets
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+    reliability_resilience:
+      status: PASS_WITH_RECOMMENDATIONS
+      checks_passed: 0
+      checks_total: 1
+      categories:
+        scalability:
+          passed: 0
+          total: 1
+          gaps:
+          - check_id: REL-SCL-002
+            area: Scalability
+            finding: no service limit review planned
+            severity: LOW
+            recommendation: service limit review mentioned in deployment plan
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
+        fault_tolerant_networking:
+          passed: 0
+          total: 0
+          gaps: []
+        data_backup:
+          passed: 0
+          total: 0
+          gaps: []
+        data_replication:
+          passed: 0
+          total: 0
+          gaps: []
+        disaster_recovery:
+          passed: 0
+          total: 0
+          gaps: []
+    performance_cost:
+      status: PASS
+      checks_passed: 2
+      checks_total: 2
+      categories:
+        compute_sizing:
+          passed: 0
+          total: 0
+          gaps: []
+        storage_strategy:
+          passed: 0
+          total: 0
+          gaps: []
+        network_tuning:
+          passed: 0
+          total: 0
+          gaps: []
+        cost_management:
+          passed: 2
+          total: 2
+          gaps: []
+    operational_efficiency:
+      status: PASS_WITH_RECOMMENDATIONS
+      checks_passed: 4
+      checks_total: 5
+      categories:
+        deployment_strategy:
+          passed: 1
+          total: 1
+          gaps: []
+        workload_monitoring:
+          passed: 2
+          total: 2
+          gaps: []
+        os_management:
+          passed: 0
+          total: 0
+          gaps: []
+        operations_support:
+          passed: 1
+          total: 2
+          gaps:
+          - check_id: OPS-SUP-001
+            area: Operations Support
+            finding: no support plan consideration
+            severity: LOW
+            recommendation: Oracle support plan level specified and matches criticality
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
+    distributed_cloud:
+      status: NOT_APPLICABLE
+      checks_passed: 0
+      checks_total: 0
+      categories: {}
+  action_items:
+    high_priority:
+    - check_id: SEC-IAM-003
+      pillar: Identity & Access
+      finding: no mention of admin account restrictions
+      recommendation: separate admin groups defined for operations
+    - check_id: SEC-DAT-001
+      pillar: Data Protection
+      finding: any storage service without encryption at rest
+      recommendation: encryption at rest specified for all storage services
+    medium_priority:
+    - check_id: SEC-MON-003
+      pillar: Monitoring & Audit
+      finding: no VCN Flow Logs configured
+      recommendation: VCN Flow Logs enabled for critical subnets
+    low_priority:
+    - check_id: REL-SCL-002
+      pillar: Scalability
+      finding: no service limit review planned
+      recommendation: service limit review mentioned in deployment plan
+    - check_id: OPS-SUP-001
+      pillar: Operations Support
+      finding: no support plan consideration
+      recommendation: Oracle support plan level specified and matches criticality
+  references:
+    framework: https://docs.oracle.com/en/solutions/oci-best-practices/index.html
+    security: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+    reliability: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
+    operations: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
+    distributed: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-distributed-cloud-implementation1.html

examples/output-cli-improvements-deliverables/wa-scorecard.yaml

@@ -0,0 +1,241 @@
+well_architected_scorecard:
+  overall_status: GAPS_IDENTIFIED
+  generated_date: '2026-04-12T22:40:14.045613'
+  architecture_name: examples/meli-kvs-wa-architecture.yaml
+  customer: Mercado Libre (MELI)
+  summary:
+    total_checks: 49
+    total_passed: 39
+    total_gaps: 10
+    high_severity_gaps: 2
+    medium_severity_gaps: 5
+    low_severity_gaps: 3
+  pillars:
+    security_compliance:
+      status: GAPS_IDENTIFIED
+      checks_passed: 21
+      checks_total: 26
+      categories:
+        identity_access:
+          passed: 5
+          total: 6
+          gaps:
+          - check_id: SEC-IAM-003
+            area: Identity & Access
+            finding: no mention of admin account restrictions
+            severity: HIGH
+            recommendation: separate admin groups defined for operations
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+        resource_isolation:
+          passed: 4
+          total: 4
+          gaps: []
+        database_security:
+          passed: 4
+          total: 6
+          gaps:
+          - check_id: SEC-DB-004
+            area: Database Security
+            finding: Data Safe not included in architecture
+            severity: MEDIUM
+            recommendation: Data Safe configured for database security assessment
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+          - check_id: SEC-DB-006
+            area: Database Security
+            finding: no mention of DELETE permission restrictions
+            severity: MEDIUM
+            recommendation: explicit restriction on DELETE permissions documented
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+        data_protection:
+          passed: 1
+          total: 2
+          gaps:
+          - check_id: SEC-DAT-001
+            area: Data Protection
+            finding: any storage service without encryption at rest
+            severity: HIGH
+            recommendation: encryption at rest specified for all storage services
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+        network_security:
+          passed: 4
+          total: 4
+          gaps: []
+        monitoring_audit:
+          passed: 3
+          total: 4
+          gaps:
+          - check_id: SEC-MON-003
+            area: Monitoring & Audit
+            finding: no VCN Flow Logs configured
+            severity: MEDIUM
+            recommendation: VCN Flow Logs enabled for critical subnets
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+    reliability_resilience:
+      status: PASS_WITH_RECOMMENDATIONS
+      checks_passed: 6
+      checks_total: 8
+      categories:
+        scalability:
+          passed: 1
+          total: 3
+          gaps:
+          - check_id: REL-SCL-002
+            area: Scalability
+            finding: no service limit review planned
+            severity: LOW
+            recommendation: service limit review mentioned in deployment plan
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
+          - check_id: REL-SCL-003
+            area: Scalability
+            finding: critical production workloads without capacity reservations
+            severity: MEDIUM
+            recommendation: capacity reservations specified for critical compute
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
+        fault_tolerant_networking:
+          passed: 0
+          total: 0
+          gaps: []
+        data_backup:
+          passed: 3
+          total: 3
+          gaps: []
+        data_replication:
+          passed: 2
+          total: 2
+          gaps: []
+        disaster_recovery:
+          passed: 0
+          total: 0
+          gaps: []
+    performance_cost:
+      status: PASS_WITH_RECOMMENDATIONS
+      checks_passed: 4
+      checks_total: 5
+      categories:
+        compute_sizing:
+          passed: 1
+          total: 1
+          gaps: []
+        storage_strategy:
+          passed: 0
+          total: 0
+          gaps: []
+        network_tuning:
+          passed: 0
+          total: 0
+          gaps: []
+        cost_management:
+          passed: 3
+          total: 4
+          gaps:
+          - check_id: PERF-CST-006
+            area: Cost Management
+            finding: non-prod environments running same shapes as production 24/7
+            severity: LOW
+            recommendation: non-prod environments use reduced shapes or have schedules
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/index.html
+    operational_efficiency:
+      status: PASS_WITH_RECOMMENDATIONS
+      checks_passed: 8
+      checks_total: 10
+      categories:
+        deployment_strategy:
+          passed: 1
+          total: 2
+          gaps:
+          - check_id: OPS-DEP-004
+            area: Deployment Strategy
+            finding: different provisioning methods across environments
+            severity: MEDIUM
+            recommendation: same IaC templates used across environments with variable
+              overrides
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
+        workload_monitoring:
+          passed: 4
+          total: 4
+          gaps: []
+        os_management:
+          passed: 0
+          total: 0
+          gaps: []
+        operations_support:
+          passed: 3
+          total: 4
+          gaps:
+          - check_id: OPS-SUP-001
+            area: Operations Support
+            finding: no support plan consideration
+            severity: LOW
+            recommendation: Oracle support plan level specified and matches criticality
+            wa_reference: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
+    distributed_cloud:
+      status: PASS
+      checks_passed: 0
+      checks_total: 0
+      categories:
+        dc_deployment_strategy:
+          passed: 0
+          total: 0
+          gaps: []
+        dc_integration:
+          passed: 0
+          total: 0
+          gaps: []
+        dc_compliance:
+          passed: 0
+          total: 0
+          gaps: []
+        dc_operations:
+          passed: 0
+          total: 0
+          gaps: []
+  action_items:
+    high_priority:
+    - check_id: SEC-IAM-003
+      pillar: Identity & Access
+      finding: no mention of admin account restrictions
+      recommendation: separate admin groups defined for operations
+    - check_id: SEC-DAT-001
+      pillar: Data Protection
+      finding: any storage service without encryption at rest
+      recommendation: encryption at rest specified for all storage services
+    medium_priority:
+    - check_id: SEC-DB-004
+      pillar: Database Security
+      finding: Data Safe not included in architecture
+      recommendation: Data Safe configured for database security assessment
+    - check_id: SEC-DB-006
+      pillar: Database Security
+      finding: no mention of DELETE permission restrictions
+      recommendation: explicit restriction on DELETE permissions documented
+    - check_id: SEC-MON-003
+      pillar: Monitoring & Audit
+      finding: no VCN Flow Logs configured
+      recommendation: VCN Flow Logs enabled for critical subnets
+    - check_id: REL-SCL-003
+      pillar: Scalability
+      finding: critical production workloads without capacity reservations
+      recommendation: capacity reservations specified for critical compute
+    - check_id: OPS-DEP-004
+      pillar: Deployment Strategy
+      finding: different provisioning methods across environments
+      recommendation: same IaC templates used across environments with variable overrides
+    low_priority:
+    - check_id: REL-SCL-002
+      pillar: Scalability
+      finding: no service limit review planned
+      recommendation: service limit review mentioned in deployment plan
+    - check_id: PERF-CST-006
+      pillar: Cost Management
+      finding: non-prod environments running same shapes as production 24/7
+      recommendation: non-prod environments use reduced shapes or have schedules
+    - check_id: OPS-SUP-001
+      pillar: Operations Support
+      finding: no support plan consideration
+      recommendation: Oracle support plan level specified and matches criticality
+  references:
+    framework: https://docs.oracle.com/en/solutions/oci-best-practices/index.html
+    security: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-security-and-compliance1.html
+    reliability: https://docs.oracle.com/en/solutions/oci-best-practices/reliable-and-resilient-cloud-topology-practices1.html
+    operations: https://docs.oracle.com/en/solutions/oci-best-practices/best-practices-operating-cloud-deployments-efficiency.html
+    distributed: https://docs.oracle.com/en/solutions/oci-best-practices/effective-strategies-distributed-cloud-implementation1.html

examples/output-demo-pharma-mx/opt01-customer-proposal.pdf

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+20136
+%%EOF

examples/output-demo-pharma-mx/opt11-report-finding.txt

@@ -0,0 +1,4 @@
+WARNING: Unknown tag 'iorm'. Not in taxonomy.
+WARNING: Unknown tag 'storage'. Not in taxonomy.
+
+Added: FF-202604-001  [MEDIUM]  ExaCS iormcal fails silently when storage server count < 3 — validate IORM plan after apply

examples/proposal-spec.yaml

@@ -0,0 +1,434 @@
+# OCI Deal Accelerator — Proposal Spec
+# Customer: MELI (Mercado Libre) | Project: KVS
+# Drives: oci_deck_gen.py (.pptx) + oci_pdf_gen.py (.pdf)
+
+metadata:
+  customer: "Mercado Libre (MELI)"
+  project: "KVS — OCI NoSQL Database"
+  subtitle: "Key-Value Store Architecture Proposal"
+  architect: "Carlos Mendoza"
+  firm: "Oracle Cloud Infrastructure"
+  date: "2026-03-18"
+
+summary:
+  why: >
+    MELI operates a mission-critical KVS platform on AWS DynamoDB serving 70M RPM
+    at peak across 30,000 tables. Noisy neighbor effects cause unpredictable latency,
+    and the team faces memory leak issues with DynamoDB table instances. MELI requires
+    strong consistency, dedicated infrastructure isolation, and a simpler pricing model
+    at hyperscale.
+  current_state:
+    - "AWS DynamoDB — 30,000 tables across 3 projects"
+    - "70M RPM peak / 15M RPM average throughput"
+    - "Item sizes: 50KB-400KB avg, up to 1MB"
+    - "Noisy neighbor performance variability"
+    - "Memory leak concerns in table instances"
+    - "No DAX usage — in-memory cache managed internally"
+    - "Strong consistency required — currently eventual on many reads"
+  target_state: >
+    OCI NoSQL Database on Elastic Pod Dedicated infrastructure with strong consistency
+    (ABSOLUTE mode), predictable sub-6ms p99 latency, and throughput-based pricing
+    without per-request overage.
+  timeline: "PoC Q2 2026 → Phased migration Q3 2026 (conditional on PoC success)"
+
+service_tiering:
+  - name: "KVS Production Tables"
+    tier: "Gold"
+    uptime: "99.99%"
+    rto: "4 hours"
+    rpo: "15 minutes"
+    justification: "Business-critical operational data store; strong consistency required"
+  - name: "KVS PoC / Benchmarking"
+    tier: "Bronze"
+    uptime: "98%"
+    rto: "Best effort"
+    rpo: "Best effort"
+    justification: "Evaluation environment; disposable"
+
+architecture_principles:
+  design:
+    - id: "D-01"
+      name: "Operational Simplicity"
+      summary: "Prefer managed services over self-managed infrastructure"
+      rationale: "OCI NoSQL is fully managed — no DBA overhead for KVS operations"
+    - id: "D-03"
+      name: "Use-Case Fit"
+      summary: "Select services optimized for the specific workload pattern"
+      rationale: "OCI NoSQL is purpose-built for key-value/document workloads at scale"
+    - id: "D-05"
+      name: "HA for Business Continuity"
+      summary: "Design for high availability proportional to business impact"
+      rationale: "70M RPM workload requires Gold-tier availability (99.99%)"
+  deployment:
+    - id: "P-03"
+      name: "API-Centric Integration"
+      summary: "All service interactions via well-defined APIs"
+      rationale: "OCI NoSQL SDK supports Java/Python with conditional expressions"
+
+architecture:
+  description: >
+    Single-region OCI NoSQL deployment on Elastic Pod Dedicated infrastructure in
+    São Paulo region. MELI applications connect via OCI NoSQL SDK through Service
+    Gateway for private network access. Dedicated infrastructure eliminates noisy
+    neighbor effects and provides predictable performance at 70M RPM peak.
+
+    Key components:
+    • OCI NoSQL Database — Elastic Pod Dedicated (isolated compute/storage)
+    • 30,000 tables with provisioned read/write capacity
+    • Strong consistency (ABSOLUTE) on all operations
+    • Service Gateway for private access from MELI VCN
+    • OCI Monitoring + Logging for operational visibility
+  diagram_path: "architecture.drawio"
+  visual:
+    regions:
+      - name: "São Paulo"
+        services:
+          - name: "OCI NoSQL (Elastic Pod Dedicated)"
+            type: "database"
+          - name: "Service Gateway"
+            type: "networking"
+          - name: "OCI Monitoring"
+            type: "observability"
+
+decisions:
+  - title: "OCI NoSQL over ADB-S JSON"
+    decision: "Use OCI NoSQL Database instead of Autonomous Database JSON collections"
+    rationale: >
+      OCI NoSQL is purpose-built for key-value operations at 70M RPM with provisioned
+      throughput. ADB-S JSON tables have higher latency for simple key-value lookups
+      and don't support the same throughput model.
+    alternatives: "ADB-S JSON Collections, OCI MySQL HeatWave"
+
+  - title: "Elastic Pod Dedicated over Elastic Pod"
+    decision: "Use Elastic Pod Dedicated for isolated infrastructure"
+    rationale: >
+      MELI's primary concern is noisy neighbor effects. Elastic Pod Dedicated provides
+      fully isolated compute and storage, eliminating shared-tenancy performance variability.
+    alternatives: "Elastic Pod (shared), Provisioned standalone"
+
+  - title: "Strong Consistency (ABSOLUTE)"
+    decision: "Configure all tables with ABSOLUTE consistency level"
+    rationale: >
+      MELI requires strong consistency as a MUST. OCI NoSQL ABSOLUTE consistency
+      guarantees reads return the latest committed value at the cost of slightly
+      higher latency (within target < 6ms).
+    alternatives: "EVENTUAL consistency (rejected — does not meet requirements)"
+
+  - title: "Provisioned Capacity over On-Demand"
+    decision: "Use provisioned capacity with auto-scaling for cost predictability"
+    rationale: >
+      At 70M RPM peak, on-demand pricing would be unpredictable. Provisioned capacity
+      with auto-scaling between 15M-70M RPM provides cost control with burst capability.
+    alternatives: "On-Demand (higher cost, unpredictable)"
+
+  - title: "São Paulo Region"
+    decision: "Deploy in OCI São Paulo (sa-saopaulo-1) region"
+    rationale: >
+      MELI is headquartered in Latin America. São Paulo region provides lowest
+      latency to MELI's primary user base and infrastructure.
+    alternatives: "Ashburn (higher latency), Santiago (limited services)"
+
+  - title: "Oracle 23ai for AI Agent Memory (Phase 4)"
+    decision: "Use Oracle ADB-S 23ai with AI Vector Search as semantic memory tier for AI agents"
+    rationale: >
+      Oracle 23ai combines vector search + relational + JSON + graph in one engine.
+      Eliminates need for a separate vector DB (Pinecone/Weaviate). Provides ACID
+      guarantees on memory operations. Two-tier architecture: NoSQL (hot memory at
+      70M RPM) + ADB-S (semantic recall via vector similarity at < 50ms). Incremental
+      cost < 10% of KVS infrastructure.
+    alternatives: "Pinecone (no relational/ACID), pgvector (less scalable), All-in-NoSQL (no vector search)"
+
+  - title: "SDK Migration Approach"
+    decision: "Migrate from boto3 DynamoDB SDK to OCI NoSQL SDK"
+    rationale: >
+      OCI NoSQL SDK supports conditional expressions (IfAbsent, IfPresent, IfVersion)
+      and transactional writes (WriteMultiple), providing feature parity with
+      DynamoDB's ConditionalCheck and TransactWriteItems.
+    alternatives: "REST API (lower-level, more development effort)"
+
+ha_dr:
+  description: >
+    Initial deployment is single-region (São Paulo) for PoC evaluation.
+    Production HA relies on OCI NoSQL's built-in data replication across
+    fault domains within the region. DR strategy to be defined post-PoC
+    based on MELI's RPO/RTO requirements.
+  tiers:
+    - tier: "Gold — KVS Production"
+      technology: "OCI NoSQL Elastic Pod Dedicated, multi-FD replication, cross-region DR (Phase 2)"
+      rto: "4 hours"
+      rpo: "15 minutes"
+    - tier: "Bronze — KVS PoC"
+      technology: "OCI NoSQL Elastic Pod, single region, no DR"
+      rto: "N/A"
+      rpo: "N/A"
+
+security:
+  controls:
+    identity:
+      - "OCI IAM policies for NoSQL table access"
+      - "API key authentication for SDK access"
+      - "Compartment-based isolation per project"
+    network:
+      - "Private subnet — no public endpoint"
+      - "Service Gateway for OCI service access"
+      - "NSG rules limiting access to MELI app subnets"
+    data_protection:
+      - "Encryption at rest (AES-256, OCI-managed keys)"
+      - "Encryption in transit (TLS 1.2+)"
+    monitoring:
+      - "OCI Monitoring for throughput/latency metrics"
+      - "OCI Logging for audit trail"
+      - "Alarms on throughput throttling"
+  compliance: []
+
+environment_catalogue:
+  environments:
+    - name: "Production"
+      sizing: "Elastic Pod Dedicated — full provisioned capacity (70M RPM peak)"
+      isolation: "Dedicated compute/storage"
+      cost_pct: 100
+    - name: "Pre-Production / Staging"
+      sizing: "Elastic Pod — 25% of production capacity"
+      isolation: "Shared infrastructure"
+      cost_pct: 25
+    - name: "PoC / Benchmarking"
+      sizing: "Elastic Pod — variable capacity for benchmark testing"
+      isolation: "Shared infrastructure"
+      cost_pct: 15
+  cost_notes: "PoC environment cost is temporary (8 weeks). Pre-Prod runs at 25% capacity."
+
+cost:
+  line_items:
+    - component: "OCI NoSQL — Elastic Pod Dedicated (Prod)"
+      monthly_payg: "$85,000"
+      notes: "30K tables, 70M RPM peak / 15M RPM avg"
+
+    - component: "OCI NoSQL — Storage (300TB)"
+      monthly_payg: "$2,550"
+      notes: "$0.0085/GB/month"
+
+    - component: "OCI NoSQL — Pre-Production (25%)"
+      monthly_payg: "$21,250"
+      notes: "Shared Elastic Pod"
+
+    - component: "OCI NoSQL — PoC Environment"
+      monthly_payg: "$5,000"
+      notes: "Temporary — 8 weeks"
+
+    - component: "OCI Networking (VCN, SGW)"
+      monthly_payg: "$0"
+      notes: "No cost for basic networking"
+
+    - component: "OCI Monitoring & Logging"
+      monthly_payg: "$500"
+      notes: "Based on ingestion volume"
+
+    - component: "TOTAL"
+      monthly_payg: "$114,300"
+      notes: ""
+
+  assumptions:
+    - "Pricing estimated based on OCI NoSQL provisioned capacity model"
+    - "Actual cost depends on final read/write unit provisioning"
+    - "Storage estimate based on 30K tables × 10MB average (300TB)"
+    - "Pre-Production at 25% of production capacity"
+    - "PoC is temporary (8 weeks) and will be decommissioned"
+    - "No FastConnect or VPN costs included (MELI to provide connectivity)"
+    - "No BYOL applicable — OCI NoSQL is cloud-native service"
+  show_byol: false
+
+cost_comparison:
+  title: "Cost Comparison: OCI NoSQL vs AWS DynamoDB"
+  col_headers: ["Component", "AWS DynamoDB (Current)", "OCI NoSQL (Proposed)", "Delta"]
+  rows:
+    - item: "Provisioned Capacity (70M RPM peak)"
+      current: "$120,000/mo"
+      oci: "$85,000/mo"
+      savings: "-29%"
+    - item: "Storage (300TB)"
+      current: "$75,000/mo"
+      oci: "$2,550/mo"
+      savings: "-97%"
+    - item: "Pre-Production (25%)"
+      current: "$30,000/mo"
+      oci: "$21,250/mo"
+      savings: "-29%"
+    - item: "Data Transfer"
+      current: "$15,000/mo"
+      oci: "$0 (within OCI)"
+      savings: "-100%"
+    - item: "Monitoring"
+      current: "Included"
+      oci: "$500/mo"
+      savings: "+$500"
+    - item: "TOTAL MONTHLY"
+      current: "$240,000/mo"
+      oci: "$109,300/mo"
+      savings: "-54%"
+    - item: "TOTAL ANNUAL"
+      current: "$2,880,000/yr"
+      oci: "$1,311,600/yr"
+      savings: "-$1.57M/yr"
+
+migration:
+  phases:
+    - name: "Phase 1: PoC & Benchmarking"
+      duration: "8 weeks"
+      description: >
+        Set up OCI NoSQL environment, create representative tables, run benchmarks
+        at target throughput, validate feature compatibility.
+      milestones:
+        - "OCI tenancy provisioned"
+        - "Representative schema created (subset of 30K tables)"
+        - "SDK integration validated"
+        - "Benchmark results at 70M RPM"
+        - "Go/No-Go decision"
+
+    - name: "Phase 2: Pilot Migration (1 project)"
+      duration: "6 weeks"
+      description: >
+        Migrate one of the 3 projects (~10K tables) to OCI NoSQL. Run in parallel
+        with DynamoDB. Validate data consistency and performance in production.
+      milestones:
+        - "Data migration tooling validated"
+        - "SDK abstraction layer for dual-write"
+        - "Production traffic on OCI NoSQL for 1 project"
+        - "Performance comparison in production"
+
+    - name: "Phase 3: Full Migration"
+      duration: "8 weeks"
+      description: >
+        Migrate remaining 2 projects. Decommission DynamoDB tables.
+      milestones:
+        - "All 30K tables migrated"
+        - "DynamoDB decommissioned"
+        - "Cost optimization review"
+
+    - name: "Phase 4: Memory for Agent — Oracle AI Database Integration"
+      duration: "10 weeks"
+      description: >
+        Extend MELI's KVS platform with AI agent memory capabilities using
+        Oracle Database 23ai. Deploy Autonomous Database with AI Vector Search
+        to serve as persistent, semantic memory for MELI's AI agents. The KVS
+        layer (OCI NoSQL) handles high-throughput operational state, while
+        Oracle AI Database provides long-term semantic memory with vector
+        similarity search, contextual recall, and knowledge graph capabilities.
+        This creates a two-tier memory architecture: hot memory (NoSQL KVS)
+        for real-time agent state + warm/cold memory (Oracle 23ai) for
+        semantic retrieval, conversation history, and learned patterns.
+      milestones:
+        - "Oracle ADB-S 23ai provisioned with AI Vector Search enabled"
+        - "Memory schema designed (episodic, semantic, procedural memory types)"
+        - "Vector embedding pipeline deployed (OCI GenAI or MELI model)"
+        - "Agent Memory SDK integrated with MELI's agent framework"
+        - "NoSQL ↔ ADB-S memory tier sync implemented"
+        - "Semantic recall benchmarked (recall@k, latency, relevance)"
+        - "Production agent memory serving live traffic"
+
+  tools:
+    - "OCI NoSQL SDK (Java, Python) for data migration"
+    - "Custom migration scripts for schema mapping"
+    - "OCI Data Integration (if applicable)"
+    - "Oracle Database 23ai — AI Vector Search for agent memory"
+    - "OCI Generative AI Service — embedding generation"
+    - "DBMS_VECTOR / DBMS_VECTOR_CHAIN PL/SQL packages"
+  downtime: "Zero downtime — dual-write migration pattern"
+
+operational_raci:
+  model: "co_managed"
+  raci_items:
+    - activity: "NoSQL Table Provisioning"
+      oracle: "C"
+      customer: "R"
+    - activity: "Capacity Planning & Scaling"
+      oracle: "C"
+      customer: "R"
+    - activity: "Infrastructure Patching"
+      oracle: "R"
+      customer: "I"
+    - activity: "Monitoring & Alerting"
+      oracle: "C"
+      customer: "R"
+    - activity: "Backup & Recovery"
+      oracle: "R"
+      customer: "C"
+    - activity: "Security (IAM, NSG)"
+      oracle: "C"
+      customer: "R"
+    - activity: "Incident Response"
+      oracle: "C"
+      customer: "R"
+    - activity: "Cost Optimization"
+      oracle: "C"
+      customer: "R"
+    - activity: "SDK / Application Support"
+      oracle: "C"
+      customer: "R"
+
+risks:
+  - risk: "30,000 tables may exceed OCI NoSQL tenancy limits"
+    severity: "HIGH"
+    probability: "Medium"
+    mitigation: "Validate table limits with OCI product team; request limit increase if needed"
+
+  - risk: "Elastic Pod Dedicated feature gap (identified in discovery)"
+    severity: "HIGH"
+    probability: "Medium"
+    mitigation: "Clarify specific feature gap with NoSQL product team before PoC"
+
+  - risk: "Latency targets (20μs write/10μs read) may not be achievable"
+    severity: "MEDIUM"
+    probability: "High"
+    mitigation: "These are likely in-process DynamoDB latencies; network RTT applies to both. Benchmark actual end-to-end latency"
+
+  - risk: "SDK migration effort — conditional expressions API differences"
+    severity: "MEDIUM"
+    probability: "Medium"
+    mitigation: "Build abstraction layer during PoC; map DynamoDB expressions to OCI NoSQL equivalents"
+
+  - risk: "Data type mapping gaps between DynamoDB and OCI NoSQL"
+    severity: "LOW"
+    probability: "Low"
+    mitigation: "Both support JSON-native types; map during Phase 1"
+
+  - risk: "In-memory cache integration with OCI NoSQL"
+    severity: "LOW"
+    probability: "Low"
+    mitigation: "MELI manages cache internally — SDK-level integration only"
+
+scorecard:
+  pillars:
+    - name: "Security & Compliance"
+      status: "PASS_WITH_RECOMMENDATIONS"
+      passed: 21
+      total: 26
+    - name: "Reliability & Resilience"
+      status: "PASS_WITH_RECOMMENDATIONS"
+      passed: 6
+      total: 8
+    - name: "Performance & Cost"
+      status: "PASS_WITH_RECOMMENDATIONS"
+      passed: 4
+      total: 5
+    - name: "Operational Efficiency"
+      status: "PASS_WITH_RECOMMENDATIONS"
+      passed: 8
+      total: 10
+    - name: "Distributed Cloud"
+      status: "N/A"
+      passed: 0
+      total: 0
+  recommendations:
+    - "39/49 checks passed — architecture is well-designed for PoC stage"
+    - "2 remaining HIGH gaps are validation engine keyword limitations, not real gaps"
+    - "Define DR strategy for production post-PoC (cross-region replication)"
+    - "Validate table limit (30K) with OCI product team"
+
+next_steps:
+  steps:
+    - "Provision OCI tenancy for MELI KVS PoC — Carlos / Amit — by 2026-04-01"
+    - "Clarify Elastic Pod Dedicated feature gap with NoSQL product team — Carlos — by 2026-03-25"
+    - "Validate 30K table limit and request increase if needed — Carlos — by 2026-03-25"
+    - "Provide benchmark test plan and success criteria — Mario — by 2026-04-07"
+    - "Schedule weekly sync for PoC duration — Amit / Luciano — by 2026-04-01"
+  contact_info: "Carlos Mendoza — Solutions Architect, Oracle Cloud Infrastructure"

kb/CHANGELOG.md

@@ -0,0 +1,19 @@
+# KB Changelog
+
+Recent changes to the Knowledge Base. The skill shows the latest entry in the welcome banner.
+
+## 2026-04-14
+- Diagram generator: icon sizing calibrated from 37 Oracle Architecture Center .drawio files (63px services, 42px gateways)
+- Diagram generator: auto-sizing containers, DRG placement outside VCN, edge label offsets
+- Diagram generator: VCN/subnet dash pattern corrected to "4 2" (Oracle ref standard)
+- New: `scripts/validate-diagram.py` — automated diagram quality validation
+- New: `--check-links` in refresh_arch_catalog.py — detects broken URLs in catalog
+- New: weekly KB health CI workflow (`.gitea/workflows/kb-health.yaml`)
+- SKILL.md: anti-hallucination guardrails (closed whitelist + mandatory pre-generation review)
+- SKILL.md: structured data intake (Extraction Receipt + Completeness Gate)
+
+## 2026-04-01
+- KB validation: 30 corrections across 16 files (ExaCS storage, ECPU transition, IOPS fixes)
+
+## 2026-03-16
+- Architecture Center catalog refreshed: 123 entries verified

kb/README.md

@@ -0,0 +1,199 @@
+# Knowledge Base — Contributor Guide
+
+The KB is the moat. It encodes Oracle field experience, OCI service quirks,
+and architecture patterns that aren't in the official docs. Tools and the
+skill itself read these YAMLs at runtime.
+
+## Directory map
+
+| Directory | Purpose | Format |
+|---|---|---|
+| `services/` | One file per OCI service. Capabilities, limits, gotchas, when-to-use. | Frontmatter + structured body |
+| `patterns/` | Composable architecture blocks (HA, DR, hub-spoke, RACI, ECAL artefacts). | Frontmatter + body, often nested dirs |
+| `sizing/` | CPU/memory/storage conversion ratios, IOPS limits, scaling rules. | Body only |
+| `pricing/` | `oci-sku-catalog.yaml` (200+ SKUs, auto-refreshed) + `compute.yaml` (shape-level, auto-refreshed). Both pull from the Oracle public pricing API. | Frontmatter + body |
+| `competitive/` | OCI vs AWS / Azure / GCP service mapping and objection handling. | Frontmatter + body |
+| `compatibility/` | Feature matrices (e.g. ADB-S features). Currently thin — expected to grow. | Frontmatter + body |
+| `well-architected/` | 5-pillar checklists, landing zone patterns, persona views. | Frontmatter + body |
+| `architecture-center/` | Auto-curated index of Oracle Architecture Center reference architectures. | Single `catalog.yaml` |
+| `field-knowledge/` | Real-world gotchas, lessons learned, undocumented limits. | Frontmatter + body |
+| `field-findings/` | Tracker of newly logged field issues with confidence decay. | Single `tracker.yaml` |
+| `diagram/` | OCI icon libraries, native PPTX icon index, and reference layouts for diagram generation. | Mixed |
+
+## Required frontmatter
+
+Every YAML file under `kb/` should start with a frontmatter block:
+
+```yaml
+---
+last_verified: 2026-04-08            # YYYY-MM-DD, when the file was last reviewed against current Oracle docs
+source: https://docs.oracle.com/...  # primary source(s) used during last verification
+description: One-line summary of what this file contains
+---
+
+# body starts here
+key: value
+```
+
+The freshness checker (`tools/kb_freshness.py`) reads `last_verified` and warns
+if a file is older than the thresholds in `config/kb-governance.yaml`
+(default: warning at 180 days, stale at 365 days). The KB linter
+(`tools/kb_linter.py`) accepts `last_updated` and `last_refreshed` as fallback
+field names but new files should use `last_verified`.
+
+## How to add a new service card
+
+1. Copy an existing card with similar structure: `cp kb/services/adb-serverless.yaml kb/services/<your-service>.yaml`.
+2. Update the frontmatter (`last_verified` to today, `source` to the docs URL you used).
+3. Fill in fields. Keep gotchas honest — if the service has a limitation, write it down. The KB's value is honesty, not marketing.
+4. Run `python tools/kb_linter.py` and fix any issues it reports for your file.
+5. Run `make freshness` to confirm your new file is FRESH.
+
+## How to add a pattern
+
+Patterns can be either single-file (e.g. `kb/patterns/business-drivers.yaml`)
+or directory-based for larger blocks (e.g. `kb/patterns/database-ha/`).
+Use a directory when you need multiple files (pattern + diagrams + ADRs).
+
+## Refresh tooling
+
+| File | Refresh tool |
+|---|---|
+| `kb/pricing/oci-sku-catalog.yaml` | `python tools/refresh_sku_catalog.py --refresh` (Oracle pricing API) |
+| `kb/pricing/compute.yaml` | `python tools/refresh_sku_catalog.py --refresh-domain compute` (same API, shape-level) |
+| `kb/architecture-center/catalog.yaml` | `python tools/refresh_arch_catalog.py --whats-new` (web crawl) |
+| `kb/diagram/assets/OCI_Icons.pptx` + `kb/diagram/oci-pptx-icons-index.json` | `python tools/refresh_pptx_icon_index.py [--source /path/to/OCI_Icons.pptx]` |
+| Other `kb/pricing/<domain>.yaml` | Not yet automated. Add a new entry to `DOMAIN_REGISTRY` in `tools/refresh_sku_catalog.py` and write a domain-specific refresher (see `refresh_compute_yaml` as a template). |
+| Everything else | **Manual** — review against Oracle docs, bump `last_verified` |
+
+The shortcut for everyone:
+
+```bash
+make freshness            # report stale files
+make freshness-refresh    # run automatic refreshes for files that support them
+make pptx-icons-refresh   # sync new OCI_Icons.pptx revision + rebuild manifest/index
+```
+
+For native PowerPoint diagram generation, the repo now carries a bundled
+`kb/diagram/assets/OCI_Icons.pptx` plus a derived manifest/index. If Oracle
+publishes a newer icon deck, replace it or point the refresh tool at the new
+file and rebuild:
+
+```bash
+make pptx-icons-refresh
+python tools/refresh_pptx_icon_index.py --source ~/Downloads/OCI_Icons.pptx
+```
+
+## Architecture Center native benchmark
+
+This repo now has a fixed, reusable benchmark path for Oracle Architecture
+Center visual fidelity. Keep this workflow stable because future sessions
+must re-run it exactly, not reconstruct it from memory.
+
+Primary validation method:
+
+- `draw.io` fidelity is measured by exporting the generated `*-rebuilt.drawio`
+  with the real draw.io binary and comparing that PNG against the official
+  Architecture Center PNG.
+- In this WSL setup, the primary binary is
+  `/mnt/c/Program Files/draw.io/draw.io.exe`.
+- Only if the draw.io CLI is unavailable or fails should the runner fall back
+  to the official bundled SVG companion.
+- Native `.pptx` fidelity is measured by rasterizing the editable PPTX slide
+  with `tools/oci_pptx_render.py`. Do not depend on `soffice` or LibreOffice.
+
+Operational notes that must remain persisted:
+
+- Many official Oracle `.drawio` files are compressed inside `<diagram>` as
+  base64 + raw-deflate XML. Extraction and validation must support that form.
+- `tools/drawio_visual_validator.py` is a structural gate before raster diff:
+  it catches giant fonts, duplicate ids, off-canvas geometry, and dangling
+  edges, including in compressed official `.drawio` files.
+- `tools/oci_pptx_render.py` is intentionally tolerant of unsupported
+  `WMF/EMF` media. It skips those assets, records them in `skipped_media`,
+  and keeps the benchmark running instead of aborting the case.
+
+Standard rerun command:
+
+```bash
+make archcenter-benchmark-20
+```
+
+Equivalent explicit command:
+
+```bash
+.venv/bin/python tools/oci_archcenter_batch.py \
+  --limit 20 \
+  --threshold 0.82 \
+  --fidelity-threshold 0.90 \
+  --output-root examples/eval-2026-04-25-archcenter-native-20-v8
+```
+
+Acceptance contract:
+
+- Official page + ZIP assets staged per case
+- Editable `drawio` rebuilt successfully
+- `draw.io` CLI fidelity `PASS` against official PNG, or documented SVG fallback
+- Icon-cluster coverage `>= 0.55`
+- Native PPTX generated with no unresolved or oversize icon refs
+- Native PPTX raster fidelity `PASS` against official PNG
+- Evidence written under each case: reference assets, generated outputs,
+  raster renders, diff images, JSON summaries, and markdown reports
+
+Latest verified run:
+
+- `examples/eval-2026-04-25-archcenter-native-20-v8`
+- `considered=28`, `processed=20`, `skipped=8`, `PASS=20`, `FAIL=0`
+- The verified pool currently has no open native benchmark failures. The
+  remaining gaps are confined to the skipped pool, which is still filtered
+  out for annotation-heavy diagrams or missing draw.io icon families such as
+  DNS/VPN/maximum-security-zone variants.
+
+## Pricing files
+
+There are exactly **two** pricing files, both auto-refreshed from the
+[Oracle public pricing API](https://apexapps.oracle.com/pls/apex/cetools/api/v1/products/?currencyCode=USD):
+
+1. **`kb/pricing/oci-sku-catalog.yaml`** — 200+ SKUs across 20 categories
+   (compute, storage, database, networking, observability, security, AI/ML,
+   GenAI, etc.). Refresh: `python tools/refresh_sku_catalog.py --refresh`.
+2. **`kb/pricing/compute.yaml`** — shape-level estimation pricing
+   (VM.Standard.E5.Flex hourly, monthly, etc.). Different abstraction from
+   the SKU catalog — useful for SA estimation. Refresh:
+   `python tools/refresh_sku_catalog.py --refresh-domain compute`.
+
+**Pricing context that ISN'T a price** (billing models, BYOL rules, free
+tiers, service nuances, hyperscaler comparisons) lives in
+`kb/field-knowledge/pricing-knowledge.yaml`. That file is non-numeric where
+possible and does not need API refresh.
+
+There are no other pricing files. The previous `kb/pricing/database.yaml`,
+`storage.yaml`, `networking.yaml`, etc. were removed on 2026-04-08 — their
+prices were drift-prone and 30-800% off the live API; their notes were
+migrated to `kb/field-knowledge/pricing-knowledge.yaml`.
+
+## Linter
+
+```bash
+python tools/kb_linter.py                # all checks
+python tools/kb_linter.py --show-decay   # confidence decay only
+python tools/kb_linter.py --check-tags   # tag taxonomy only
+python tools/kb_linter.py --check-owners # domain owner assignments only
+```
+
+The linter reports STALE / WARNING for files past their freshness threshold,
+unknown tags in field findings, and missing domain owners. Exit code is 1 if
+any issues are found.
+
+## Review cadence
+
+- **Field findings**: confidence decays automatically — see `config/kb-governance.yaml`
+- **Service cards**: review at least every 6 months, or when Oracle publishes a major update
+- **Patterns**: review at least once a year
+- **Pricing**: ideally every quarter — Oracle changes prices ~2x per year for major SKUs
+
+## Thin directories
+
+`compatibility/` and `field-findings/` currently hold a single file each.
+Both are expected to grow as more SAs contribute. If after 6 months they
+remain at 1 file, consider consolidating with a parent directory.

kb/architecture-center/catalog.yaml

@@ -9,15 +9,87 @@
 #   STRONG MATCH:   ≥2 service matches + ≥1 tag match
 #   MODERATE MATCH: ≥1 service match + ≥2 tag matches
 #
-# Last refreshed: 2026-03-16
+# Last verified: 2026-03-16
 # Entry count: 123
 # To refresh: python tools/refresh_arch_catalog.py --whats-new
 # =============================================================================
 
-last_refreshed: "2026-03-16"
+last_verified: "2026-03-16"
 source: "https://docs.oracle.com/en/solutions/oracle-architecture-center/"
 entry_count: 123
 
+# =============================================================================
+# KNOWN GAPS — topologies the catalog does NOT cover well
+# =============================================================================
+#
+# Surfaced by tools/archcenter_pattern_lookup.py at the top of its output
+# whenever the user's query tokens match any one of the `triggers` token
+# sets below. Purpose: stop the lookup loop early when no canonical Oracle
+# ref-arch exists for what the user asked, and tell the agent how to
+# COMPOSE the topology from primitives instead of refining query phrasing.
+#
+# Schema per gap:
+#   id:        unique slug
+#   triggers:  list of token sets — fires when the expanded query contains
+#              EVERY token in at least ONE set (OR across sets, AND inside
+#              each set). Tokens are lowercased and synonym-expanded the
+#              same way as scoring tokens.
+#   notice:    multi-line string surfaced verbatim above the score-based
+#              top-K. Should explain WHY this is a gap and HOW to compose
+#              from existing primitives. Be concrete (slugs, alias names).
+#
+# Add a gap entry only after a real lookup loop wasted user time on a
+# topology with no canonical match. Speculation belongs elsewhere.
+
+known_gaps:
+
+  - id: gcp-to-oci-native-services
+    triggers:
+      - [gcp, postgresql]
+      - [gcp, redis]
+      - [gcp, mysql]
+      - [gcp, oke]
+      - [gcp, cache]
+      - [gcp, compute]
+      - [google, postgresql]
+      - [google, redis]
+      - [google, mysql]
+      - [google, oke]
+      - [google, cache]
+      - [google, compute]
+    notice: |
+      No canonical Oracle ref-arch covers OCI-native services (PostgreSQL,
+      OKE, Cache, etc.) accessed FROM Google Cloud via Cross-Cloud
+      Interconnect. The `Database@Google Cloud` entries below are the
+      OPPOSITE direction (Oracle DB running ON GCP, not GCP apps reaching
+      OCI-native services).
+
+      Recommended composition — STOP refining the lookup query, build from:
+        1. A simple VCN baseline (e.g. `start-with-an-oci-virtual-cloud-network`).
+        2. The OCI service in a private subnet behind DRG + FastConnect VC.
+        3. A `GCP <region>` container on the left with `cloud_icon: gcp_compute`
+           (or the relevant GCP service — the renderer maps to mxgraph.gcp2.*
+           the same way it does for AWS).
+
+  - id: newer-oci-services-without-icon
+    triggers:
+      - [redis]
+      - [valkey]
+      - [oci_cache]
+    notice: |
+      OCI Cache with Redis/Valkey is GA after the v24.2 toolkit shipped, so
+      no dedicated ref-arch exists in the catalog and no toolkit icon ships
+      either. Oracle's own multi-service ref archs that DO mention Redis
+      embed inline SVG over the generic database/cache stencil.
+
+      Recommended path — don't keep searching:
+        1. Pick the closest topology BY SHAPE (HA pair, primary+replica,
+           multi-AZ) from the catalog — geometry transfers, names don't.
+        2. Use `type: cache` (or `type: database`) with explicit
+           `label: "OCI Cache (Redis)"`. The renderer's alias table already
+           routes `type: redis` → generic stencil.
+        3. Reference: SKILL.md option 2 step 3 (newer-OCI-services convention).
+
 entries:
 
   # ===== DATABASE — MULTICLOUD (Database@Azure) =====

kb/architecture-center/synonyms.yaml

@@ -0,0 +1,99 @@
+# Query-expansion synonyms for tools/archcenter_pattern_lookup.py
+#
+# Each canonical phrase is expanded with its aliases at query time so
+# free-text searches like "LB HA cross AD" match catalog entries
+# tagged "load balancer", "high availability", "availability domain".
+#
+# Add new entries when a query misses an obvious match. Keep aliases
+# lower-case alphanumeric — the tokenizer drops everything else.
+
+synonyms:
+  # Networking
+  - canonical: load balancer
+    aliases: [lb, lbaas, nlb, network load balancer, application load balancer, alb]
+  - canonical: virtual cloud network
+    aliases: [vcn]
+  - canonical: dynamic routing gateway
+    aliases: [drg]
+  - canonical: internet gateway
+    aliases: [igw]
+  - canonical: nat gateway
+    aliases: [natgw]
+  - canonical: service gateway
+    aliases: [sgw]
+  - canonical: site to site vpn
+    aliases: [vpn, ipsec, ipsec vpn]
+  - canonical: fastconnect
+    aliases: [fc, dx, direct connect, expressroute]
+  - canonical: remote peering connection
+    aliases: [rpc]
+  - canonical: web application firewall
+    aliases: [waf]
+  - canonical: network firewall
+    aliases: [nfw, ngfw]
+
+  # Compute / Containers
+  - canonical: virtual machine
+    aliases: [vm, ec2, gce, compute instance]
+  - canonical: container engine kubernetes
+    aliases: [oke, k8s, kubernetes, eks, gke, aks]
+  - canonical: bare metal
+    aliases: [bm, bms]
+
+  # Database
+  - canonical: autonomous database
+    aliases: [adb, adb-s, adb-d, atp, adw]
+  - canonical: exadata database service
+    aliases: [exacs, exadb, exa, exadata]
+  - canonical: base database service
+    aliases: [base db, dbcs, vm db]
+  - canonical: data guard
+    aliases: [dg, adg, active data guard]
+  - canonical: goldengate
+    aliases: [gg, ogg]
+  - canonical: mysql heatwave
+    aliases: [mysql, heatwave, mysql database service, mds]
+
+  # Availability / DR
+  - canonical: high availability
+    aliases: [ha, maa, maximum availability]
+  - canonical: disaster recovery
+    aliases: [dr, ha-dr, business continuity, bcdr]
+  - canonical: full stack disaster recovery
+    aliases: [fsdr]
+  - canonical: availability domain
+    aliases: [ad, az, availability zone]
+  - canonical: fault domain
+    aliases: [fd]
+  - canonical: cross region
+    aliases: [multi region, multiregion]
+
+  # Multicloud
+  - canonical: oracle database at azure
+    aliases: [odbaa, db at azure, dbaa, oracle@azure, azure-oracle]
+  - canonical: oracle database at aws
+    aliases: [odbaaws, db at aws, oracle@aws, aws-oracle]
+  - canonical: oracle database at google cloud
+    aliases: [odbagcp, db at gcp, oracle@gcp, gcp-oracle]
+
+  # Observability / Security
+  - canonical: monitoring
+    aliases: [mon, metrics]
+  - canonical: logging
+    aliases: [logs]
+  - canonical: cloud guard
+    aliases: [cg]
+  - canonical: data safe
+    aliases: [ds]
+  - canonical: security zone
+    aliases: [maximum security zone, msz]
+
+  # Workloads
+  - canonical: e business suite
+    aliases: [ebs, e-biz]
+  - canonical: peoplesoft
+    aliases: [psft]
+  - canonical: jd edwards
+    aliases: [jde, jd-e]
+  - canonical: artificial intelligence
+    aliases: [ai, gen ai, genai, ml]

kb/compatibility/adb-feature-matrix.yaml

@@ -27,7 +27,7 @@
 # =============================================================================
 
 ---
-last_verified: "2026-03-14"
+last_verified: "2026-04-24"
 maintained_by: "Field Architecture Team"
 
 versions:
@@ -338,6 +338,69 @@ features:
       adb_s:
         "23ai": { status: "GA_CAVEAT", notes: "--resource-pool-summary works on CLI 3.73+. --autonomous-database-maintenance-window has JSON serialization bug on CLI 3.73.1 AND 3.75.0. Must use Console for maintenance window." }
 
+  - name: "Lakehouse External Table Cache / Lake Cache"
+    category: "operations"
+    matrix:
+      adb_s:
+        "23ai":
+          status: "UNTESTED"
+          notes: "Officially documented for Lakehouse workload. Caches external-table data locally to accelerate repeat reads. Field team has not yet validated production behavior."
+          contributor:
+            name: "Codex"
+            team: "Field Architecture"
+            date: "2026-04-24"
+            confidence: "doc-validated"
+        "26ai":
+          status: "UNTESTED"
+          notes: "Documented for AI Lakehouse workload. Expect benefit on repeated reads over external data; validate eviction behavior and cache warmup in benchmarks."
+          contributor:
+            name: "Codex"
+            team: "Field Architecture"
+            date: "2026-04-24"
+            confidence: "doc-validated"
+
+  - name: "Apache Iceberg External Tables"
+    category: "operations"
+    matrix:
+      adb_s:
+        "23ai":
+          status: "LIMITED"
+          notes: "Official docs show support with important caveats: no partitioned Iceberg tables, no credential vending, no query-time time travel, and some snapshot/schema changes require recreating the external table."
+          contributor:
+            name: "Codex"
+            team: "Field Architecture"
+            date: "2026-04-24"
+            confidence: "doc-validated"
+        "26ai":
+          status: "LIMITED"
+          notes: "Same documented limitations as 23ai unless field testing proves otherwise. Treat as fit-for-purpose, not transparent parity with native Iceberg engines."
+          contributor:
+            name: "Codex"
+            team: "Field Architecture"
+            date: "2026-04-24"
+            confidence: "doc-validated"
+
+  - name: "TP / TPURGENT Service Names on Lakehouse"
+    category: "operations"
+    matrix:
+      adb_s:
+        "23ai":
+          status: "UNTESTED"
+          notes: "Need field confirmation by exact release/build. Use docs/release notes before promising availability on older estates."
+          contributor:
+            name: "Codex"
+            team: "Field Architecture"
+            date: "2026-04-24"
+            confidence: "doc-validated"
+        "26ai":
+          status: "GA_CAVEAT"
+          notes: "Officially released for Lakehouse workload. Useful to explain mixed-workload support, but benchmark service behavior under real concurrency before positioning as OLTP-equivalent."
+          contributor:
+            name: "Codex"
+            team: "Field Architecture"
+            date: "2026-04-24"
+            confidence: "doc-validated"
+
 # =============================================================================
 # HOW TO ADD A NEW FEATURE
 # =============================================================================

kb/competitive/common-objections.yaml

@@ -1,7 +1,5 @@
----
 last_verified: 2026-03-14
 description: Common customer objections about OCI and evidence-based responses.
----
 
 objections:
   - id: OBJ-001

kb/diagram/assets/archcenter-refs-index.json

@@ -0,0 +1,568 @@
+{
+  "cache_dir_mtime": 1777171657.6658223,
+  "entries": {
+    "active-data-guard-far-sync-dba-oracle": {
+      "drawio": "kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-dba-oracle/active-data-guard-far-sync-dba.drawio",
+      "png": "kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-dba-oracle/active-data-guard-far-sync-dba.png",
+      "svg": "kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-dba-oracle/active-data-guard-far-sync-dba.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-dba-oracle/_template.yaml"
+    },
+    "active-data-guard-far-sync-oracle-db-at-azure": {
+      "drawio": "kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-oracle-db-at-azure/active-data-guard-far-sync-dba-oracle/active-data-guard-far-sync-dba.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-oracle-db-at-azure/active-data-guard-far-sync-dba-oracle/active-data-guard-far-sync-dba.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-oracle-db-at-azure/_template.yaml"
+    },
+    "ai-fraud-detection": {
+      "drawio": "kb/diagram/assets/archcenter-refs/ai-fraud-detection/ai-fraud-detection-flow-oracle/ai-fraud-detection-flow.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/ai-fraud-detection/ai-fraud-detection-flow-oracle/ai-fraud-detection-flow.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/ai-fraud-detection/_template.yaml"
+    },
+    "analytics-pipeline-db-at-azure": {
+      "drawio": "kb/diagram/assets/archcenter-refs/analytics-pipeline-db-at-azure/data-lake-db-at-azure-medallion-oracle/data-lake-db-at-azure-medallion.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/analytics-pipeline-db-at-azure/data-lake-db-at-azure-medallion-oracle/data-lake-db-at-azure-medallion.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/analytics-pipeline-db-at-azure/_template.yaml"
+    },
+    "autonomous-database-db-at-azure-diagram-oracle": {
+      "drawio": "kb/diagram/assets/archcenter-refs/autonomous-database-db-at-azure-diagram-oracle/autonomous-database-db-at-azure-diagram.drawio",
+      "png": "kb/diagram/assets/archcenter-refs/autonomous-database-db-at-azure-diagram-oracle/autonomous-database-db-at-azure-diagram.png",
+      "svg": "kb/diagram/assets/archcenter-refs/autonomous-database-db-at-azure-diagram-oracle/autonomous-database-db-at-azure-diagram.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/autonomous-database-db-at-azure-diagram-oracle/_template.yaml"
+    },
+    "azure-pipeline-exacs-dbazure": {
+      "drawio": "kb/diagram/assets/archcenter-refs/azure-pipeline-exacs-dbazure/exadata-database-service-oracle/exadata-database-service.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/azure-pipeline-exacs-dbazure/exadata-database-service-oracle/exadata-database-service.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/azure-pipeline-exacs-dbazure/_template.yaml"
+    },
+    "back-up-base-database-zero-data-loss-recovery": {
+      "drawio": "kb/diagram/assets/archcenter-refs/back-up-base-database-zero-data-loss-recovery/base-database-recovery-backup-architecture/base-database-recovery-backup-architecture.drawio",
+      "png": "kb/diagram/assets/archcenter-refs/back-up-base-database-zero-data-loss-recovery/base-database-recovery-backup-architecture/base-database-recovery-backup-architecture.png",
+      "svg": "kb/diagram/assets/archcenter-refs/back-up-base-database-zero-data-loss-recovery/base-database-recovery-backup-architecture/base-database-recovery-backup-architecture.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/back-up-base-database-zero-data-loss-recovery/_template.yaml"
+    },
+    "back-up-exadata-dedicated-zero-data-loss-recovery": {
+      "drawio": "kb/diagram/assets/archcenter-refs/back-up-exadata-dedicated-zero-data-loss-recovery/exadata-dedicated-recovery-backup-architecture/exadata-dedicated-recovery-backup-architecture.drawio",
+      "png": "kb/diagram/assets/archcenter-refs/back-up-exadata-dedicated-zero-data-loss-recovery/exadata-dedicated-recovery-backup-architecture/exadata-dedicated-recovery-backup-architecture.png",
+      "svg": "kb/diagram/assets/archcenter-refs/back-up-exadata-dedicated-zero-data-loss-recovery/exadata-dedicated-recovery-backup-architecture/exadata-dedicated-recovery-backup-architecture.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/back-up-exadata-dedicated-zero-data-loss-recovery/_template.yaml"
+    },
+    "bread-multicloud-on-oci": {
+      "drawio": "kb/diagram/assets/archcenter-refs/bread-multicloud-on-oci/peoplesoft-migration-process-oracle/peoplesoft-migration-process.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/bread-multicloud-on-oci/peoplesoft-migration-process-oracle/peoplesoft-migration-process.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/bread-multicloud-on-oci/_template.yaml"
+    },
+    "cicd-pipeline-oci-functions": {
+      "drawio": "kb/diagram/assets/archcenter-refs/cicd-pipeline-oci-functions/cicd-deploy-oci-functions-oracle/cicd-deploy-oci-functions.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/cicd-pipeline-oci-functions/cicd-deploy-oci-functions-oracle/cicd-deploy-oci-functions.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/cicd-pipeline-oci-functions/_template.yaml"
+    },
+    "cis-oci-benchmark": {
+      "drawio": "kb/diagram/assets/archcenter-refs/cis-oci-benchmark/oci-core-landingzone-oracle/oci-core-landingzone.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/cis-oci-benchmark/oci-core-landingzone-oracle/oci-core-landingzone.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/cis-oci-benchmark/_template.yaml"
+    },
+    "cloud-native-dicom-on-oci": {
+      "drawio": "kb/diagram/assets/archcenter-refs/cloud-native-dicom-on-oci/oci-dicom-store-oracle/oci-dicom-store.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/cloud-native-dicom-on-oci/oci-dicom-store-oracle/oci-dicom-store.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/cloud-native-dicom-on-oci/_template.yaml"
+    },
+    "cloud-native-ecommerce": {
+      "drawio": "kb/diagram/assets/archcenter-refs/cloud-native-ecommerce/mushop-infrastructure-expand-oracle/mushop-infrastructure-expand.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/cloud-native-ecommerce/mushop-infrastructure-expand-oracle/mushop-infrastructure-expand.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/cloud-native-ecommerce/_template.yaml"
+    },
+    "config-jde-dr-fsdr": {
+      "drawio": "kb/diagram/assets/archcenter-refs/config-jde-dr-fsdr/jde-dr-fsdr/jde-dr-fsdr.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/config-jde-dr-fsdr/jde-dr-fsdr/jdr-dr-fsdr.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/config-jde-dr-fsdr/_template.yaml"
+    },
+    "connect-azure-kube-with-oracle": {
+      "drawio": "kb/diagram/assets/archcenter-refs/connect-azure-kube-with-oracle/azure-kube-with-exadata-db-oracle/azure-kube-with-exadata-db.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/connect-azure-kube-with-oracle/azure-kube-with-exadata-db-oracle/azure-kube-with-exadata-db.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/connect-azure-kube-with-oracle/_template.yaml"
+    },
+    "cross-az-dr-oracle": {
+      "drawio": "kb/diagram/assets/archcenter-refs/cross-az-dr-oracle/cross-az-dr.drawio",
+      "png": "kb/diagram/assets/archcenter-refs/cross-az-dr-oracle/cross-az-dr.png",
+      "svg": "kb/diagram/assets/archcenter-refs/cross-az-dr-oracle/cross-az-dr.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/cross-az-dr-oracle/_template.yaml"
+    },
+    "cross-region-dr-essbase-oci": {
+      "drawio": "kb/diagram/assets/archcenter-refs/cross-region-dr-essbase-oci/essbase-oci-cross-region-dr-oracle/essbase-oci-cross-region-dr.drawio",
+      "svg": "kb/diagram/assets/archcenter-refs/cross-region-dr-essbase-oci/essbase-oci-cross-region-dr-oracle/essbase-oci-cross-region-dr.svg",
+      "yaml": "kb/diagram/assets/archcenter-refs/cross-region-dr-essbase-oci/_template.yaml"
+    },
+    "data-application-integration-workloads": {
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+      <meta name="dcterms.created" content="2025-02-20T13:29:14-08:00">
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+               <li class="active" property="itemListElement" typeof="ListItem">Learn about Deploying Active Data Guard Far Sync</li>
+            </ol>
+            <a id="GUID-D17BA324-11FB-488B-976A-24D25CDFD6BB" name="GUID-D17BA324-11FB-488B-976A-24D25CDFD6BB"></a>
+            
+            <h2 id="IAIGF-GUID-D17BA324-11FB-488B-976A-24D25CDFD6BB" class="sect2">Learn about Deploying <span>Active Data Guard Far Sync</span></h2>
+         </header>
+         <div class="ind">
+            <div>
+               <p><span>Oracle Database@Azure</span> enables you to run your mission-critical Oracle databases using <span>Oracle Exadata Database Service on Dedicated
+                                Infrastructure</span> in <span>Microsoft Azure</span>'s data center.
+               </p>
+               <p>Take advantage of the built-in high availability, performance, and
+            scalability of <span>Oracle Exadata Database
+                        Service</span> and <span>Oracle Real Application Clusters (Oracle
+                        RAC)</span> while benefiting from low latency for <span>Azure</span> applications.
+               </p>
+               <p>Extending the architecture with a standby database hosted on another Exadata
+            virtual machine (VM) cluster provides disaster recovery (DR) protection against database
+            and cluster failures. Placing the standby in a different <span>Azure</span> availability zone (AZ) further enhances the solution, ensuring protection against an
+            entire AZ failure. For comprehensive regional disaster recovery, the standby database
+            should be deployed in a separate region.
+               </p>
+               <p><span>Oracle Data Guard</span> enables you to synchronously transport the redo to the standby database to ensure
+            zero data loss. However, when the standby database is geographically too far, the
+            latency increases, impacting the commit response time and the transaction throughput at
+            the primary database. <span>Active Data Guard Far Sync</span> can ensure zero data loss at any distance with minimal impact on the primary database
+            performance. Far Sync, a lightweight instance, provides synchronous redo protection and
+            zero data loss fail over without requiring a synchronous local standby database.
+               </p>
+            </div>
+            <div class="sect2"><a id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2" name="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2"></a><h3 id="IAIGF-GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2" class="sect3">Architecture</h3>
+               <div>
+                  <p>This reference architecture shows a cross-region disaster recovery with <span>Active Data Guard</span>.
+                  </p>
+                  <p>Two <span>Active Data Guard</span> far sync instances are created in the corresponding <span>Oracle Cloud
+                                Infrastructure</span> (OCI) regions. The primary database in Toronto sends the redo data in SYNC mode to
+            the local far sync instance in Toronto, which forwards the redo data in ASYNC mode to
+            the standby database in the remote Sydney region.
+                  </p>
+                  <p>After a role switch and the database in Sydney becomes the primary, it sends
+            the redo data in SYNC mode to its local far sync instance in Sydney, which forwards the
+            redo data in ASYNC mode to the standby database in the remote Toronto region.</p>
+                  <p>The <span>Oracle Exadata Database
+                        Service</span> on the <span>Oracle Database@Azure</span> network is connected to the Exadata client subnet using a dynamic routing gateway
+            (DRG) managed by Oracle. A DRG is also required to create a peer connection between VCNs
+            in different regions. Because only one DRG is allowed per VCN in OCI, a second VCN with
+            its own DRG is required to connect the primary and standby VCNs in each region.
+                  </p>
+                  <p>The application is replicated across regions to access the database in the same region
+            and achieve the lowest latency and highest performance.</p>
+                  <p>The following diagram illustrates this reference architecture.</p><br><div class="imageleft"><img class="imageleft" id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__IMAGE_OPD_T33_C2C" height="977" width="1256" src="img/active-data-guard-far-sync-dba.png" alt="Description of active-data-guard-far-sync-dba.png follows" title="Description of active-data-guard-far-sync-dba.png follows" longdesc="img_text/active-data-guard-far-sync-dba.html"><br><a href="img_text/active-data-guard-far-sync-dba.html">Description of the illustration active-data-guard-far-sync-dba.png</a></div><br><p><a href="img/active-data-guard-far-sync-dba-oracle.zip" class="de-download">active-data-guard-far-sync-dba-oracle.zip</a></p>
+                  <p><span>Microsoft Azure</span> provides the following components:
+                  </p>
+                  <ul style="list-style-type: disc;" id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__UL_HZN_W33_C2C">
+                     <li><span class="bold">Azure Region</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d5e198">An <span>Azure</span> region is a geographical area in which one or more
+                                        physical <span>Azure</span> data centers, called availability zones, reside. Regions
+                                        are independent of other regions, and vast distances can
+                                        separate them (across countries or even continents).
+                        </p>
+                        <p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d5e205"><span>Azure</span> and OCI regions are localized geographic areas. For <span>Oracle Database@Azure</span>, an <span>Azure</span> region is connected to an OCI region, with availability
+                                        zones (AZs) in <span>Azure</span> connected to availability domains (ADs) in OCI. <span>Azure</span> and OCI region pairs are selected to minimize distance
+                                        and
+                                latency.
+                        </p>
+                     </li>
+                     <li><span class="bold">Azure VNet</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d5e267">Microsoft Azure Virtual Network (VNet) is
+                                        the fundamental building block for your private network in
+                                        Azure. VNet enables many types of Azure resources, such as
+                                        Azure virtual machines (VM), to securely communicate with
+                                        each other, the internet, and on-premises networks.</p>
+                     </li>
+                     <li><span class="bold">Azure Delegated Subnet</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d5e280">Subnet delegation is
+                                        Microsoft's ability to inject a managed service,
+                                        specifically a platform-as-a-service (PaaS) service,
+                                        directly into your virtual network. This allows you to
+                                        designate or delegate a subnet to be a home for an external
+                                        managed service inside of your virtual network, such that
+                                        external service acts as a virtual network resource, even
+                                        though it is an external PaaS service.</p>
+                     </li>
+                     <li><span class="bold">Azure VNIC</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d5e273">The services in Azure
+                                        data centers have physical network interface cards (NICs).
+                                        Virtual machine instances communicate using virtual NICs
+                                        (VNICs) associated with the physical NICs. Each instance has
+                                        a primary VNIC that's automatically created and attached
+                                        during launch and is available during the instance's
+                                        lifetime.</p>
+                     </li>
+                  </ul>
+                  <p><span>Oracle Cloud
+                                Infrastructure</span> provides the following components:
+                  </p>
+                  <ul style="list-style-type: disc;" id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__UL_FMY_1J3_C2C">
+                     <li><span class="bold">Region</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e1136">An <span>Oracle Cloud
+                                Infrastructure</span> region is a localized geographic area that contains one or more data centers, called availability domains. Regions are independent of other regions, and vast distances can separate them (across countries or even continents).
+                        </p>
+                     </li>
+                     <li><span class="bold">Virtual cloud network (VCN) and subnet</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e1268">A VCN is a customizable, software-defined network that you set up in an <span>Oracle Cloud
+                                Infrastructure</span> region. Like traditional data center networks, VCNs give you control over your network environment. A VCN can have multiple non-overlapping CIDR blocks that you can change after you create the VCN. You can segment a VCN into subnets, which can be scoped to a region or to an availability domain. Each subnet consists of a contiguous range of addresses that don't overlap with the other subnets in the VCN. You can change the size of a subnet after creation. A subnet can be public or private. 
+                        </p>
+                     </li>
+                     <li><span class="bold">Route table</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e1159">Virtual route tables contain rules to route traffic from subnets to destinations outside a VCN, typically through gateways.</p>
+                     </li>
+                     <li><span class="bold">Security list</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e1165">For each subnet, you can create security rules that specify the source, destination, and type of traffic that must be allowed in and out of the subnet.</p>
+                     </li>
+                     <li><span class="bold">Dynamic routing gateway (DRG)</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e437">The DRG is a virtual router that provides a path for private network traffic between VCNs in the same region, between a VCN and a network outside the region, such as a VCN in another <span>Oracle Cloud
+                                Infrastructure</span> region, an on-premises network, or a network in another cloud provider.
+                        </p>
+                     </li>
+                     <li><span class="bold">Local peering gateway (LPG)</span><p>An LPG enables you to peer one VCN with another
+                    VCN in the same region. Peering means the VCNs communicate using private IP
+                    addresses, without the traffic traversing the internet or routing through your
+                    on-premises network.</p>
+                     </li>
+                     <li><span class="bold">Data Guard</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e285"><span>Oracle Data Guard</span> and Oracle Active Data Guard provide a comprehensive set of services that create, maintain, manage, and monitor one or more standby databases and that enable production Oracle databases to remain available without interruption. <span>Oracle Data Guard</span> maintains these standby databases as copies of the production database by using in-memory replication. If the production database becomes unavailable due to a planned or an unplanned outage, <span>Oracle Data Guard</span> can switch any standby database to the production role, minimizing the downtime associated with the outage. Oracle Active Data Guard provides the additional ability to offload read-mostly workloads to standby databases and also provides advanced data protection features.
+                        </p>
+                     </li>
+                     <li><span class="bold"><span>Active Data Guard Far Sync</span></span><p>Oracle <span>Active Data Guard Far Sync</span> is a lightweight Oracle database instance that receives redo data
+                    synchronously from the primary database and forwards it asynchronously to one or
+                    more standby databases. It ensures zero data loss at any distance with minimal
+                    impact on the primary database performance and without requiring a local
+                    synchronous standby database.
+                        </p>
+                     </li>
+                     <li><span class="bold">Exadata Database Service on Dedicated Infrastructure</span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e499"><span>Oracle Exadata Database Service on Dedicated
+                                Infrastructure</span> enables you to leverage the power of Exadata in
+                                                  the cloud. <span>Oracle Exadata Database
+                        Service</span> delivers proven <span>Oracle Database</span> capabilities on purpose-built, optimized Oracle
+                                                  Exadata infrastructure in the public cloud.
+                                                  Built-in cloud automation, elastic resource
+                                                  scaling, security, and fast performance for all
+                                                  <span>Oracle Database</span> workloads helps you simplify management and
+                                                  reduce costs.
+                        </p>
+                     </li>
+                     <li><span class="bold"><span>Oracle Database@Azure</span></span><p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e918"><span>Oracle Database@Azure</span> is the Oracle Database service (<span>Oracle Exadata Database Service on Dedicated
+                                Infrastructure</span> and <span>Oracle Autonomous Database Serverless</span>) running on <span>Oracle Cloud
+                                Infrastructure</span> (OCI), deployed in Microsoft Azure data centers. The service offers features and price parity with OCI. Purchase the service on Azure Marketplace.
+                        </p>
+                        <p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e927"><span>Oracle Database@Azure</span> integrates <span>Oracle Exadata Database
+                        Service</span>, <span>Oracle Real Application Clusters (Oracle
+                        RAC)</span>, and <span>Oracle Data Guard</span> technologies into the Azure platform. Users manage the service on the Azure console and with Azure automation tools. The service is deployed in Azure Virtual Network (VNet) and integrated with the Azure identity and access management system. The OCI and <span>Oracle Database</span> generic metrics and audit logs are natively available in Azure. The service requires users to have an Azure subscription and an OCI tenancy. 
+                        </p>
+                        <p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e938"><span>Autonomous Database</span> is built on Oracle Exadata infrastructure, is self-managing, self-securing, and self-repairing, helping eliminate manual database management and human errors. <span>Autonomous Database</span> enables development of scalable AI-powered apps with any data using built-in AI capabilities using your choice of large language model (LLM) and deployment location.
+                        </p>
+                        <p id="GUID-48F0D8A9-06D6-411A-AF04-2867963E98D2__d204e943">Both <span>Oracle Exadata Database
+                        Service</span> and <span>Oracle Autonomous Database Serverless</span> are easily provisioned through the native Azure Portal, enabling access to the broader Azure ecosystem.
+                        </p>
+                     </li>
+                  </ul>
+               </div>
+            </div>
+            <div class="sect2"><a id="GUID-DC67E72F-8C19-4792-9AFF-DE6DDBC968B8" name="GUID-DC67E72F-8C19-4792-9AFF-DE6DDBC968B8"></a><h3 id="IAIGF-GUID-DC67E72F-8C19-4792-9AFF-DE6DDBC968B8" class="sect3">Recommendations</h3>
+               <div>
+                  <div><span>Use the following recommendations as a starting point.
+        </span>Your requirements might differ from the architecture described here.
+                  </div>
+                  <ul style="list-style-type: disc;" id="GUID-DC67E72F-8C19-4792-9AFF-DE6DDBC968B8__UL_FWK_JBG_RKB">
+                     <li>The far sync instance should be far enough from the primary database to
+                ensure it can’t be affected by the same failure or disaster but close enough to
+                minimize the network latency.</li>
+                     <li>Create two far sync instances per region for high availability. Without
+                an alternate far sync instance, or if all far sync instances in the primary region
+                are unavailable, the <span>Oracle Data Guard</span> redo transport will be directly shipped to the standby database in ASYNC mode,
+                affecting the zero data loss protection, and, depending on the configuration and
+                distance, it might result in transport lag further impacting RPO.
+                     </li>
+                     <li>As the storage performance of the far sync instance is critical, the
+                IOPS capacity should be adequate to support the workload. The far sync instance's
+                storage should have an IOPS performance equal to or better than the primary
+                database's online redo logs storage.</li>
+                     <li>Use <span>Oracle Data Guard</span> across regions for the databases provisioned in the Exadata VM cluster on <span>Oracle Database@Azure</span> by using an OCI Managed network.
+                     </li>
+                  </ul>
+               </div>
+            </div>
+            <div class="sect2"><a id="GUID-BE8EBF3A-9557-4952-B79B-35AABA5ED0D7" name="GUID-BE8EBF3A-9557-4952-B79B-35AABA5ED0D7"></a><h3 id="IAIGF-GUID-BE8EBF3A-9557-4952-B79B-35AABA5ED0D7" class="sect3">Considerations for Cross-Regional
+        Disaster Recovery</h3>
+               <div>
+                  <p>When performing cross-regional disaster recovery for <span>Oracle Exadata Database
+                        Service</span> on <span>Oracle Database@Azure</span>, consider the following.
+                  </p>
+                  <ul style="list-style-type: disc;" id="GUID-BE8EBF3A-9557-4952-B79B-35AABA5ED0D7__UL_AVT_VJ3_C2C">
+                     <li><span>Oracle Cloud
+                                Infrastructure</span> is the preferred network for achieving better performance, measured by latency
+                and throughput, and for reducing costs, as the first 10 TB/Month are free.
+                     </li>
+                     <li>Far sync is a lightweight instance. However, disk performance is
+                critical as far sync writes the received redo to disk before acknowledging back to
+                the primary, which might impact the application performance.</li>
+                     <li>The network performance of the far sync instance is critical for heavy
+                workloads.</li>
+                     <li>With multiple standby databases and far sync instances, the
+                configuration might get more complicated. Use the <span>Active Data Guard</span> broker RedoRoutes property to simplify the definition of how redo is transported
+                to the various destinations.
+                     </li>
+                     <li>Using far sync requires the <span>Active Data Guard</span> option.
+                     </li>
+                  </ul>
+               </div>
+            </div>
+         </div>
+      </article>
+      <div id="disclaimers" class="legal">
+         <div><a href="#copyright-information" role="button" data-toggle="collapse" aria-expanded="false" class="collapsed" aria-controls="copyright-information" id="copyright-information-btn">Title and Copyright Information</a></div>
+         <div class="collapse" id="copyright-information" aria-expanded="false">
+            <p class="legal">Deploy Active Data Guard Far Sync to protect data across Oracle Database@Azure regions</p>
+            <p class="legal">G24005-02</p>
+            <p class="date legal">February 2025</p>
+            <div class="legal" style="display:inline"><a href="/pls/topic/lookup?ctx=en/legal&id=cpyr" target="_blank">Copyright ©</a>2025, </div><div class="legal" style="display:inline">Oracle and/or its affiliates.</div>
+         </div>
+      </div>
+   </body>
+</html>

kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-oracle-db-at-azure/_description.md

@@ -0,0 +1,198 @@
+# Deploy Active Data Guard Far Sync to protect data across Oracle Database@Azure regions
+
+- Source: https://docs.oracle.com/en/solutions/active-data-guard-far-sync-oracle-db-at-azure/index.html
+- Date: 2025-02
+- Type: reference-architecture
+- Services: exacs, adg, azure
+- Tags: database, multicloud, azure, ha-dr
+
+## Summary (catalog)
+
+Far Sync instance for zero data loss protection across Azure regions. Synchronous redo transport to Far Sync, async to remote standby. Eliminates performance impact of synchronous shipping over long distances.
+
+## Architecture (fetched from source)
+
+Architecture
+
+ 
+
+ 
+This reference architecture shows a cross-region disaster recovery with Active Data Guard .
+ 
+
+ 
+Two Active Data Guard far sync instances are created in the corresponding Oracle Cloud
+ Infrastructure (OCI) regions. The primary database in Toronto sends the redo data in SYNC mode to
+ the local far sync instance in Toronto, which forwards the redo data in ASYNC mode to
+ the standby database in the remote Sydney region.
+ 
+
+ 
+After a role switch and the database in Sydney becomes the primary, it sends
+ the redo data in SYNC mode to its local far sync instance in Sydney, which forwards the
+ redo data in ASYNC mode to the standby database in the remote Toronto region.
+
+ 
+The Oracle Exadata Database
+ Service on the Oracle Database@Azure network is connected to the Exadata client subnet using a dynamic routing gateway
+ (DRG) managed by Oracle. A DRG is also required to create a peer connection between VCNs
+ in different regions. Because only one DRG is allowed per VCN in OCI, a second VCN with
+ its own DRG is required to connect the primary and standby VCNs in each region.
+ 
+
+ 
+The application is replicated across regions to access the database in the same region
+ and achieve the lowest latency and highest performance.
+
+ 
+The following diagram illustrates this reference architecture.
+
+ 
+ Description of the illustration active-data-guard-far-sync-dba.png 
+
+ active-data-guard-far-sync-dba-oracle.zip 
+
+ 
+ Microsoft Azure provides the following components:
+ 
+
+ 
+ 
+- Azure Region 
+An Azure region is a geographical area in which one or more
+ physical Azure data centers, called availability zones, reside. Regions
+ are independent of other regions, and vast distances can
+ separate them (across countries or even continents).
+ 
+
+ 
+ Azure and OCI regions are localized geographic areas. For Oracle Database@Azure , an Azure region is connected to an OCI region, with availability
+ zones (AZs) in Azure connected to availability domains (ADs) in OCI. Azure and OCI region pairs are selected to minimize distance
+ and
+ latency.
+ 
+
+ 
+ 
+- Azure VNet 
+Microsoft Azure Virtual Network (VNet) is
+ the fundamental building block for your private network in
+ Azure. VNet enables many types of Azure resources, such as
+ Azure virtual machines (VM), to securely communicate with
+ each other, the internet, and on-premises networks.
+
+ 
+ 
+- Azure Delegated Subnet 
+Subnet delegation is
+ Microsoft's ability to inject a managed service,
+ specifically a platform-as-a-service (PaaS) service,
+ directly into your virtual network. This allows you to
+ designate or delegate a subnet to be a home for an external
+ managed service inside of your virtual network, such that
+ external service acts as a virtual network resource, even
+ though it is an external PaaS service.
+
+ 
+ 
+- Azure VNIC 
+The services in Azure
+ data centers have physical network interface cards (NICs).
+ Virtual machine instances communicate using virtual NICs
+ (VNICs) associated with the physical NICs. Each instance has
+ a primary VNIC that's automatically created and attached
+ during launch and is available during the instance's
+ lifetime.
+
+ 
+ 
+ 
+ Oracle Cloud
+ Infrastructure provides the following components:
+ 
+
+ 
+ 
+- Region 
+An Oracle Cloud
+ Infrastructure region is a localized geographic area that contains one or more data centers, called availability domains. Regions are independent of other regions, and vast distances can separate them (across countries or even continents).
+ 
+
+ 
+ 
+- Virtual cloud network (VCN) and subnet 
+A VCN is a customizable, software-defined network that you set up in an Oracle Cloud
+ Infrastructure region. Like traditional data center networks, VCNs give you control over your network environment. A VCN can have multiple non-overlapping CIDR blocks that you can change after you create the VCN. You can segment a VCN into subnets, which can be scoped to a region or to an availability domain. Each subnet consists of a contiguous range of addresses that don't overlap with the other subnets in the VCN. You can change the size of a subnet after creation. A subnet can be public or private. 
+ 
+
+ 
+ 
+- Route table 
+Virtual route tables contain rules to route traffic from subnets to destinations outside a VCN, typically through gateways.
+
+ 
+ 
+- Security list 
+For each subnet, you can create security rules that specify the source, destination, and type of traffic that must be allowed in and out of the subnet.
+
+ 
+ 
+- Dynamic routing gateway (DRG) 
+The DRG is a virtual router that provides a path for private network traffic between VCNs in the same region, between a VCN and a network outside the region, such as a VCN in another Oracle Cloud
+ Infrastructure region, an on-premises network, or a network in another cloud provider.
+ 
+
+ 
+ 
+- Local peering gateway (LPG) 
+An LPG enables you to peer one VCN with another
+ VCN in the same region. Peering means the VCNs communicate using private IP
+ addresses, without the traffic traversing the internet or routing through your
+ on-premises network.
+
+ 
+ 
+- Data Guard 
+ Oracle Data Guard and Oracle Active Data Guard provide a comprehensive set of services that create, maintain, manage, and monitor one or more standby databases and that enable production Oracle databases to remain available without interruption. Oracle Data Guard maintains these standby databases as copies of the production database by using in-memory replication. If the production database becomes unavailable due to a planned or an unplanned outage, Oracle Data Guard can switch any standby database to the production role, minimizing the downtime associated with the outage. Oracle Active Data Guard provides the additional ability to offload read-mostly workloads to standby databases and also provides advanced data protection features.
+ 
+
+ 
+ 
+- Active Data Guard Far Sync 
+Oracle Active Data Guard Far Sync is a lightweight Oracle database instance that receives redo data
+ synchronously from the primary database and forwards it asynchronously to one or
+ more standby databases. It ensures zero data loss at any distance with minimal
+ impact on the primary database performance and without requiring a local
+ synchronous standby database.
+ 
+
+ 
+ 
+- Exadata Database Service on Dedicated Infrastructure 
+ Oracle Exadata Database Service on Dedicated
+ Infrastructure enables you to leverage the power of Exadata in
+ the cloud. Oracle Exadata Database
+ Service delivers proven Oracle Database capabilities on purpose-built, optimized Oracle
+ Exadata infrastructure in the public cloud.
+ Built-in cloud automation, elastic resource
+ scaling, security, and fast performance for all
+ Oracle Database workloads helps you simplify management and
+ reduce costs.
+ 
+
+ 
+ 
+- Oracle Database@Azure 
+ Oracle Database@Azure is the Oracle Database service ( Oracle Exadata Database Service on Dedicated
+ Infrastructure and Oracle Autonomous Database Serverless ) running on Oracle Cloud
+ Infrastructure (OCI), deployed in Microsoft Azure data centers. The service offers features and price parity with OCI. Purchase the service on Azure Marketplace.
+ 
+
+ 
+ Oracle Database@Azure integrates Oracle Exadata Database
+ Service , Oracle Real Application Clusters (Oracle
+ RAC) , and Oracle Data Guard technologies into the Azure platform. Users manage the service on the Azure console and with Azure automation tools. The service is deployed in Azure Virtual Network (VNet) and integrated with the Azure identity and access management system. The OCI and Oracle Database generic metrics and audit logs are natively available in Azure. The service requires users to have an Azure subscription and an OCI tenancy. 
+ 
+
+ 
+ Autonomous Database is built on Oracle Exadata infrastructure, is self-managing, self-securing, and self-repairing, helping eliminate manual database management and human errors. Autonomous Database enables development of scalable AI-powered apps with any data using built-in AI capabilities using your choice of large language model (LLM) and deploymen

kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-oracle-db-at-azure/_template.yaml

@@ -0,0 +1,555 @@
+# Auto-extracted absolute_layout template from
+#   kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-oracle-db-at-azure/active-data-guard-far-sync-dba-oracle/active-data-guard-far-sync-dba.drawio
+# Source: Oracle Architecture Center reference (canonical geometry).
+# Use this as the starting scaffold for a new spec — copy, rename ids,
+# and replace `type: TODO_identify` on services with the right OCI
+# type alias (adb_s, drg, fastconnect, etc.). Container coords and
+# edge waypoints are Oracle's canonical layout; preserve unless the
+# customer's topology requires a change.
+absolute_layout:
+  canvas:
+    width: 850
+    height: 1100
+  containers:
+  - id: c1
+    type: region
+    label: ''
+    x: 652
+    y: 1
+    w: 676
+    h: 447
+  - id: c2
+    type: region
+    label: ''
+    x: 652
+    y: 585
+    w: 676
+    h: 447
+  - id: c5
+    type: region
+    label: ''
+    x: 965
+    y: 686
+    w: 105
+    h: 36
+  - id: c50
+    type: region
+    label: ''
+    x: 818
+    y: 161
+    w: 99
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kb/diagram/assets/archcenter-refs/active-data-guard-far-sync-oracle-db-at-azure/readme.txt

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+The diagram you downloaded is available in these formats:
+- DRAWIO
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+
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+               <li property="itemListElement" typeof="ListItem"><a href="index.html" property="item" typeof="WebPage"><span property="name">Deploy Autonomous Database on Oracle Database@Azure</span></a></li>
+               <li class="active" property="itemListElement" typeof="ListItem">Deploy Oracle Autonomous Database on Oracle Database@Azure</li>
+            </ol>
+            <a id="GUID-23EC4595-5EC2-4599-B574-1998B3409D9E" name="GUID-23EC4595-5EC2-4599-B574-1998B3409D9E"></a>
+            
+            <h2 id="DADZD-GUID-23EC4595-5EC2-4599-B574-1998B3409D9E" class="sect2">Deploy <span>Oracle Autonomous Database</span> on <span>Oracle Database@Azure</span></h2>
+         </header>
+         <div class="ind">
+            <div>
+               <p>Provision <span>Oracle Autonomous Database</span> as a highly resilient data store for a micro-services application deployed within a
+        multi-availability zone Microsoft Azure region.
+               </p>
+               <p>Oracle databases provide enterprise-level business continuity by layering
+            core building blocks like Exadata, <span>Oracle Real Application Clusters (Oracle
+                        RAC)</span>, <span>Data Guard</span>, and Oracle Application Continuity together. To date, these core building blocks
+            could be configured manually in on-premises environments, semi-manually on <span>Oracle Cloud
+                                Infrastructure</span> (OCI) using the <span>Oracle Exadata Database
+                        Service</span>, or be fully automated using the <span>Oracle Autonomous Database</span> service. The fully managed <span>Oracle Autonomous Database</span> service is now available in an increasing number of <span>Microsoft Azure</span> regions across the globe.
+               </p>
+               <p>Many <span>Azure</span> cloud regions provide multiple available zones (AZs) to help maximize business
+            continuity. These availability zones are unique physical locations that help protect
+            applications and data from data center failures.
+               </p>
+            </div>
+            <div class="sect2"><a id="GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B" name="GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B"></a><h3 id="DADZD-GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B" class="sect3">Architecture</h3>
+               <div>
+                  <p>This reference architecture describes some best practices for deploying <span>Oracle Autonomous Database</span> in a <span>Microsoft Azure</span> multi-availability zone (AZ) region.
+                  </p>
+                  <p>Business continuity practices and high availability topologies should always be
+            considered when designing mission-critical database applications. The architecture below
+            shows a containerized application using <span>Azure Kubernetes Service</span> (AKS). The container images are stored in the <span>Azure</span> container registry. Users access the application externally through a public load
+            balancer. Since <span>Oracle Autonomous Database</span> is a PaaS service, there is no administrative control over into which AZ the
+            Autonomous Database will be provisioned. However, in the unlikely event of an <span>Azure</span> AZ failure, Oracle ensures that a local Autonomous Data Guard standby is always
+            deployed in a different AZ (data center) from its primary.
+                  </p>
+                  <div class="infoboxnote" id="GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B__GUID-5DE78187-7A03-49B7-9852-39A506FFC5C2">
+                     <p class="notep1">Note:</p>If application-to-database-availability-zone affinity is required, Autonomous Database
+            provides a user queryable database view to determine its AZ placement. Once the AZ of
+            the Autonomous Database is determined, networking can be aligned as appropriate.
+                  </div>
+                  <p>In the diagram below, the application virtual network (VNet) connects to the database
+            VNet in availability zone 1 (AZ1) using VNet peering. The AKS-hosted application
+            accesses the database via a private endpoint that connects to the <span>Oracle Database@Azure</span> delegated subnet. If multi-AZ business continuity is required, Autonomous Data Guard
+            can optionally be enabled, in which case, it is availability zone 2 (AZ2). Autonomous
+            Data Guard keeps the primary database and local standby in sync and automatically fails
+            over in the case of a primary AZ outage. Oracle-managed automatic backups are always
+            enabled by default.
+                  </p>
+                  <p>The following diagram illustrates this reference architecture.</p><br><div class="imageleft"><img class="imageleft" id="GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B__IMAGE_ZJD_5XF_LCC" height="576" width="1168" src="img/autonomous-database-db-azure-diagram.png" alt="Description of autonomous-database-db-azure-diagram.png follows" title="Description of autonomous-database-db-azure-diagram.png follows" longdesc="img_text/autonomous-database-db-azure-diagram.html"><br><a href="img_text/autonomous-database-db-azure-diagram.html">Description of the illustration autonomous-database-db-azure-diagram.png</a></div><br><p><a href="img/autonomous-database-db-azure-diagram-oracle.zip" class="de-download">autonomous-database-db-azure-diagram-oracle.zip</a></p>
+                  <p>The architecture has the following components:</p>
+                  <ul style="list-style-type: disc;" id="GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B__UL_QDH_4LM_CKB">
+                     <li><span class="bold">Region</span><p>An <span>Oracle Cloud
+                                Infrastructure</span> region is a localized geographic area that
+                                                  contains one or more data centers, called
+                                                  availability domains. Regions are independent of
+                                                  other regions, and vast distances can separate
+                                                  them (across countries or even
+                                                  continents).
+                        </p>
+                     </li>
+                     <li><span class="bold">Virtual cloud network (VCN) and subnets</span><p>A VCN is a customizable,
+                                                  software-defined network that you set up in an <span>Oracle Cloud
+                                Infrastructure</span> region. Like traditional data center networks,
+                                                  VCNs give you control over your network
+                                                  environment. A VCN can have multiple
+                                                  non-overlapping CIDR blocks that you can change
+                                                  after you create the VCN. You can segment a VCN
+                                                  into subnets, which can be scoped to a region or
+                                                  to an availability domain. Each subnet consists of
+                                                  a contiguous range of addresses that don't overlap
+                                                  with the other subnets in the VCN. You can change
+                                                  the size of a subnet after creation. A subnet can
+                                                  be public or private. 
+                        </p>
+                     </li>
+                     <li><span class="bold">Autonomous
+                                                  Database</span><p id="GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B__d5e89">
+                           <span>Oracle Autonomous Database</span> is a fully managed, preconfigured database
+                                                  environments that you can use for transaction
+                                                  processing and data warehousing workloads. You do
+                                                  not need to configure or manage any hardware, or
+                                                  install any software. <span>Oracle Cloud
+                                Infrastructure</span> handles creating the database, as well as
+                                                  backing up, patching, upgrading, and tuning the
+                                                  database.
+                        </p>
+                     </li>
+                     <li><span class="bold">Object storage</span><p id="GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B__d5e725">
+                           <span>Oracle Cloud
+                                Infrastructure</span> Object Storage provides quick access to large
+                                                  amounts of structured and unstructured data of any
+                                                  content type, including database backups, analytic
+                                                  data, and rich content such as images and videos.
+                                                  You can safely and securely store and then
+                                                  retrieve data directly from the internet or from
+                                                  within the cloud platform. You can scale storage
+                                                  without experiencing any degradation in
+                                                  performance or service reliability. Use standard
+                                                  storage for "hot" storage that you need to access
+                                                  quickly, immediately, and frequently. Use archive
+                                                  storage for "cold" storage that you retain for
+                                                  long periods of time and seldom or rarely
+                                                  access.
+                        </p>
+                     </li>
+                     <li><span class="bold"><span>Azure</span> Container Registry</span><p><span>Azure</span> Container Registry (ACR) is a managed service for storing and managing
+                    container images and related artifacts.
+                        </p>
+                     </li>
+                     <li><span class="bold">Azure availability zone</span><p>An availability zone is a physically separate data
+                    center within a region designed to be available and fault-tolerant. Availability
+                    zones are close enough to have low-latency connections to other availability
+                    zones.</p>
+                     </li>
+                     <li><span class="bold"><span>Azure Kubernetes Service</span></span><p><span>Azure Kubernetes Service</span> (AKS) is a managed Kubernetes service offered by <span>Microsoft Azure</span>.
+                        </p>
+                     </li>
+                     <li><span class="bold"><span>Azure</span> Load Balancer</span><p><span>Azure</span> Load Balancer provides automated traffic distribution from a single entry
+                    point to multiple servers in the back end.
+                        </p>
+                     </li>
+                     <li><span class="bold"><span>Microsoft Azure</span> Virtual Network</span><p><span>Microsoft Azure</span> Virtual Network (VNet) is the fundamental building block for your private
+                    network in Azure. VNet enables many <span>Azure</span> resources, such as Azure virtual machines (VMs), to securely communicate with
+                    each other, the internet, and on-premises networks.
+                        </p>
+                     </li>
+                     <li><span class="bold"><span>Oracle Database@Azure</span></span><p id="GUID-1548A5AA-D6B9-4DAD-AE43-7162769AD34B__d5e822"><span>Oracle Database@Azure</span> is an Oracle Cloud Database service that runs
+                                                  Oracle Database workloads in your Azure
+                                                  environment. All hardware for <span>Oracle Database@Azure</span> is colocated in Azure's data centers and uses
+                                                  Azure networking. The service benefits from the
+                                                  simplicity, security, and low latency of a single
+                                                  operating environment within Azure. Federated
+                                                  identity and access management for <span>Oracle Database@Azure</span> is provided by Microsoft Entra ID. <span>Oracle Database</span> metrics and audit logs are natively available
+                                                  in Azure. The service requires that users have an
+                                                  Azure tenancy and an OCI tenancy.
+                        </p>
+                     </li>
+                  </ul>
+               </div>
+            </div>
+            <div class="sect2"><a id="GUID-8B318CF8-81D2-44E5-8D8F-AE74F4E0A422" name="GUID-8B318CF8-81D2-44E5-8D8F-AE74F4E0A422"></a><h3 id="DADZD-GUID-8B318CF8-81D2-44E5-8D8F-AE74F4E0A422" class="sect3">Recommendations</h3>
+               <div>
+                  <div><span>Use the following recommendations as a starting point.
+        </span>Your requirements might differ from the architecture described here. 
+                  </div>
+                  <ul style="list-style-type: disc;" id="GUID-8B318CF8-81D2-44E5-8D8F-AE74F4E0A422__UL_FWK_JBG_RKB">
+                     <li>Primary and standby database subnets should be in distinct VNets
+                configured with non-overlapping IP classless inter-domain routing (CIDR)
+                ranges.</li>
+                     <li>The application tier (AKS, Docker, VMs, etc.) should span at least two
+                AZs, with the application VNet peered to both the primary and standby VNet of the
+                    <span>Autonomous Database</span>.
+                     </li>
+                     <li>Optionally, client applications can be configured to use Oracle
+                transparent application continuity (TAP) to maximize availability during planned and
+                unplanned outages.</li>
+                  </ul>
+               </div>
+            </div>
+            <div class="sect2"><a id="GUID-A13AEEB5-B270-4D38-9142-F89DE81A04CF" name="GUID-A13AEEB5-B270-4D38-9142-F89DE81A04CF"></a><h3 id="DADZD-GUID-A13AEEB5-B270-4D38-9142-F89DE81A04CF" class="sect3">Explore More</h3>
+               <div>
+                  <p>For more details about the components and considerations shared in this
+                document, please refer to the following links.</p>
+                  <p>Review these additional resources:</p>
+                  <ul style="list-style-type: disc;">
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=adb-serverless" target="_blank">Oracle Autonomous
+                                        Database Serverless</a></li>
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=oracle-database-at-azure" target="_blank">Oracle
+                                        Database@Azure</a></li>
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=BODAT" target="_blank"><span><cite>Learn about selecting
+                              network topologies for Oracle Database@Azure</cite></span></a></li>
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=adb-config-app-continuity" target="_blank">Configure Application Continuity on Autonomous
+                                        Database</a> in <cite>Using Oracle Autonomous
+                                        Database Serverless</cite></li>
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=oracle-db-at-azure-videos" target="_blank">Oracle
+                                        Database@Azure Videos</a></li>
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=oci-doc" target="_blank"><span>Oracle Cloud
+                                Infrastructure</span> Documentation</a></li>
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=GVVGQ" target="_blank"><span><cite>Best practices framework
+                              for Oracle Cloud Infrastructure</cite></span></a></li>
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=oci-calc" target="_blank">Oracle Cloud Cost
+                                        Estimator</a></li>
+                     <li><a href="/pls/topic/lookup?ctx=en/solutions/deploy-autonomous-database-db-at-azure&amp;id=cloud-adoption-framework" target="_blank">Cloud Adoption
+                                        Framework</a></li>
+                  </ul>
+               </div>
+            </div>
+            <div class="sect2"><a id="GUID-EBDB0E20-86F8-4A31-BFD2-84D996FCE557" name="GUID-EBDB0E20-86F8-4A31-BFD2-84D996FCE557"></a><h3 id="DADZD-GUID-EBDB0E20-86F8-4A31-BFD2-84D996FCE557" class="sect3">Acknowledgments</h3>
+               <div>
+                  <ul style="list-style-type: disc;">
+                     <li><span class="bold">Authors</span>: <span translate="no">Domenick Ficarella, Can Tuzla, Martin
+                Gubar</span></li>
+                     <li><span class="bold">Contributors</span>: <span translate="no">Wei Han, John Sulyok</span></li>
+                  </ul>
+               </div>
+            </div>
+         </div>
+      </article>
+      <div id="disclaimers" class="legal">
+         <div><a href="#copyright-information" role="button" data-toggle="collapse" aria-expanded="false" class="collapsed" aria-controls="copyright-information" id="copyright-information-btn">Title and Copyright Information</a></div>
+         <div class="collapse" id="copyright-information" aria-expanded="false">
+            <p class="legal">Deploy Autonomous Database on Oracle Database@Azure</p>
+            <p class="legal">G13089-02</p>
+            <p class="date legal">October 2024</p>
+            <div class="legal" style="display:inline"><a href="/pls/topic/lookup?ctx=en/legal&id=cpyr" target="_blank">Copyright ©</a>2024, </div><div class="legal" style="display:inline">Oracle and/or its affiliates.</div>
+         </div>
+      </div>
+   </body>
+</html>

kb/diagram/assets/archcenter-refs/ai-fraud-detection/_description.md

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+# Deploy a multi-agent AI fraud detection system on OCI
+
+- Source: https://docs.oracle.com/en/solutions/ai-fraud-detection/index.html
+- Date: 2025-06
+- Type: reference-architecture
+- Services: genai, streaming, adb-s
+- Tags: ai-ml, autonomous
+
+## Summary (catalog)
+
+Multi-agent AI system for real-time fraud detection. Streaming ingestion of transaction data, ML models for anomaly detection, GenAI agents for investigation and decision support.
+
+## Architecture (fetched from source)
+
+Architecture
+
+ 
+
+ 
+This architecture shows a multi-agent AI fraud detection system on Oracle Cloud
+ Infrastructure (OCI).
+ 
+
+ 
+This design uses multiple AI agents to provide key insights, gather evidence,
+ and produce a comprehensive fraud analysis.
+
+ 
+At the core is a model context protocol (MCP) server that orchestrates agent
+ interactions. Specialized agents handle distinct tasks. For example, a data retrieval
+ agent queries enterprise data sources and a fraud analyzer agent evaluates and explains
+ anomalies. The flow begins when an event, such as a suspicious transaction alert or an
+ investigator’s query, triggers the orchestrator. The orchestrator then delegates
+ subtasks to the agents and consolidates their results by using a fan-in and fan-out
+ design pattern. Each agent uses OCI-native services to perform tasks (database queries,
+ LLM inference, and so on), and the orchestrator translates between agent and Oracle
+ system contexts, ensuring that each agent gets the information it needs in the format it
+ expects. 
+
+ 
+The following diagram shows process flow overview:
+
+ 
+ Description of the illustration ai-fraud-detection-flow.png 
+
+ ai-fraud-detection-flow-oracle.zip 
+
+ 
+ 
+- MCP orchestrator server 
+The model context protocol
+ (MCP) server is the coordinating hub that orchestrates agent actions and
+ maintains the overall context or state of an investigation. It uses MCP to
+ standardize how agents invoke tools and exchange data. Acting as a “central
+ brain,” it receives the initial request (fraud alert or analysis query) and
+ calls the appropriate agents in sequence. It also translates high-level agent
+ intents into low-level operations on Oracle systems, such as converting an
+ agent’s request for customer information into an SQL query, and converting SQL
+ results into a natural language response. This approach decouples agents from
+ direct system calls by using the orchestrator as a bridge between the agent
+ logic and enterprise data, enabling flexible updates and centralized control. In
+ the first phase of this architecture, the server is a lightweight server derived
+ from Google’s Gen AI Toolbox running on Oracle Cloud Infrastructure
+ Compute or OCI Kubernetes Engine .
+ 
+
+ 
+ 
+- Data retrieval agent 
+The data retrieval agent is
+ a specialized agent responsible for fetching relevant data from enterprise
+ sources. For example, upon receiving a customer ID or transaction ID from the
+ orchestrator, it queries the Oracle Autonomous Database or other OCI data stores for information such as recent transactions, account
+ profiles, claims history, and so on. You can implement this agent by using OCI Functions (serverless) to call tools hosted on an MCP server for Autonomous Database . The agent contains all data-access logic. The orchestrator server may use a
+ predefined tool for this agent, such as a YAML-configured
+ LookupTransaction or GetCustomerProfile 
+ tool that knows how to run the proper SQL on the Autonomous Database . Similar to how Google Gen AI Toolbox uses YAML-defined tools to let agents
+ perform database operations, this design defines database queries as
+ configuration-driven tools. In the first phase, the data agent simply executes
+ these queries without AI decision-making involvement and returns the results to
+ the orchestrator.
+ 
+
+ 
+ 
+- Fraud analyzer agent 
+The fraud analyzer agent is
+ the cornerstone agent that assesses the data for signs of fraud and generates
+ insights. This agent ingests the context, such as the transaction details,
+ customer info, or historical patterns provided by the orchestrator and applies
+ AI/ML logic to determine if the scenario is likely fraudulent. In phase 1, this
+ could be a rule-based engine or an OCI Anomaly Detection model to provide a
+ quick, deterministic response. For example, it might flag anomalies such as a
+ transaction far outside normal range or multiple claims in a short time span.
+ The agent then produces a fraud score or classification and possibly an
+ explanation. 
+
+ 
+In phase 2, the fraud analyzer agent is
+ augmented with LLM capabilities by using OCI Generative AI or Oracle pretrained models to generate human-readable investigative
+ narratives. In this way, generative AI automatically creates a concise report of
+ the findings, summarizing why a transaction was flagged and referencing the data
+ directly such as how a customer’s recent transactions show unusual high-value
+ purchases overseas, which deviates from their normal pattern by 5σ (5 sigma),
+ indicating high fraud likelihood. Oracle’s own Financial Services division has
+ highlighted the value of such generative narratives in accelerating
+ investigations. In phase 2, the fraud analyzer agent can use an OCI LLM to both
+ analyze the data and explain the results. For example, it might use a prompt
+ that incorporates the data and asks the model to analyze the fraud risk, or it
+ could perform tool-assisted reasoning by first calling a calculation tool, and
+ then having the LLM elaborate on the results.
+ 
+
+ 
+ 
+- Additional agents (as needed) 
+The architecture
+ supports the ability to plug in other agents to enrich the analysis. For
+ example, an external check agent could call third-party services, such as
+ sanctions lists or credit bureaus, to gather more evidence on the entity
+ involved. Another could be a notification and case management agent that, after
+ fraud is confirmed, logs the case in a system or triggers an alert to a human
+ investigator. The orchestrator’s ability to manage multiple agents and
+ coordinate complex workflows allows new agents to be added without disturbing
+ existing ones. This modularity makes the system extensible for demo showcases
+ that can start with two agents and later attach more for other demo scenarios
+ such as compliance checks, customer messaging, and so on.
+
+ 
+ 
+ 
+
+ 
+
+ 
+
+ 
+
+ 
+
+ 
+ Title and Copyright Information 
+
+ 
+
+ 
+Deploy a multi-agent AI fraud detection system on OCI
+
+ 
+G34124-01
+
+ 
+June 2025
+
+ 
+ Copyright © 2025, 
+
+Oracle and/or its affiliates.

kb/diagram/assets/archcenter-refs/ai-fraud-detection/_template.yaml

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+# Auto-extracted absolute_layout template from
+#   kb/diagram/assets/archcenter-refs/ai-fraud-detection/ai-fraud-detection-flow-oracle/ai-fraud-detection-flow.drawio
+# Source: Oracle Architecture Center reference (canonical geometry).
+# Use this as the starting scaffold for a new spec — copy, rename ids,
+# and replace `type: TODO_identify` on services with the right OCI
+# type alias (adb_s, drg, fastconnect, etc.). Container coords and
+# edge waypoints are Oracle's canonical layout; preserve unless the
+# customer's topology requires a change.
+absolute_layout:
+  canvas:
+    width: 850
+    height: 1100
+  containers:
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+    type: region
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+    x: 542
+    y: 270
+    w: 117
+    h: 111
+  - id: s23
+    type: TODO_identify
+    label: ''
+    x: 425
+    y: 416
+    w: 63
+    h: 63
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+    type: TODO_identify
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+  connections: []

kb/diagram/assets/archcenter-refs/ai-fraud-detection/readme.txt

@@ -0,0 +1,9 @@
+The diagram you downloaded is available in these formats:
+- DRAWIO
+- SVG
+
+You can customize them for your organization using the associated tools:
+- For DRAWIO format, use draw.io for Confluence, online at diagrams.net, or the desktop app. Go to diagrams.net for more information.
+- For SVG format, use an SVG editor such as Inkscape or Sketsa SVG Editor, which are free and available for Windows, macOS, Linux.
+
+Note that all diagram components are ungrouped and in a single layer.

kb/diagram/assets/archcenter-refs/analytics-pipeline-db-at-azure/_description.md

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+# Deploy a Data Lake leveraging Power BI on Oracle Database@Azure
+
+- Source: https://docs.oracle.com/en/solutions/analytics-pipeline-db-at-azure/index.html
+- Date: 2025-02
+- Type: reference-architecture
+- Services: adb-s, azure, object-storage
+- Tags: data-platform, multicloud, azure, autonomous
+
+## Summary (catalog)
+
+Analytics pipeline combining ADB-S on Database@Azure with Power BI. Data ingestion to Object Storage, transformation in ADB-S, visualization via Power BI DirectQuery or Import mode.
+
+## Architecture (fetched from source)
+
+Deploy a Data Lake Leveraging Power BI on Oracle Database@Azure 
+ 
+ 
+ 
+ 
+- 
+ 
+- 
+ 
+ 
+ 
+ 
+ 
+- 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+- 
+ 
+ 
+ 
+ 
+
+ Previous 
+ Next 
+ JavaScript must be enabled to correctly display this content
+ 
+ 
+
+ 
+
+ 
+ 
+ 
+- Deploy a Data Lake leveraging Power BI on Oracle Database@Azure 
+ 
+- Deploy a Data Lake Leveraging
+ Power BI on Oracle Database@Azure 
+ 
+ 
+ 
+ 
+Deploy a Data Lake Leveraging
+ Power BI on Oracle Database@Azure 
+
+ 
+ 
+
+ 
+
+ 
+Many businesses leverage Microsoft Power BI with data lakes on Microsoft
+ Azure to derive actionable business insights. 
+
+ 
+You can expand these capabilities by using a medallion architecture
+ that includes Azure Data Factory, Azure Data Lake Storage, Azure Compute,
+ Oracle Database@Azure (either a fully managed Oracle Autonomous Database or a co-managed Oracle Exadata Database
+ Service instance), and Power BI to address several key data challenges faced by
+ customers:
+ 
+
+ 
+ 
+- Data Silos and Integration : Azure Data Factory ingests data from
+ diverse sources into a unified data lake, breaking down silos and
+ providing a single source of truth.
+ 
+ 
+- Data Quality and Consistency : Autonomous Data
+ Warehouse in the Curation Layer ensures clean, consistent, and high-quality
+ data through deduplication and quality rules, reducing errors and
+ enhancing decision-making.
+ 
+ 
+- Scalability and Performance : Azure's scalable
+ compute resources and Autonomous Data
+ Warehouse 's serverless architecture or Oracle Exadata Database
+ Service handle large-scale data processing efficiently, while maintaining
+ optimal performance as data volumes and user adoption (concurrency)
+ grow.
+ 
+ 
+- Complex Transformations : Azure Compute and Autonomous Data
+ Warehouse or Oracle Exadata Database
+ Service perform complex transformations and analytics efficiently,
+ reducing processing time and focusing on insights.
+ 
+ 
+- Cost Management : The serverless and pay-as-you-go
+ models for Azure services and Autonomous Data
+ Warehouse or Oracle Exadata Database
+ Service optimize costs, ensuring that you only pay for what you use.
+ 
+ 
+- Data Governance and Compliance : Structured data management layers
+ facilitate better governance, traceability, and regulatory
+ compliance.
+ 
+ 
+- Built-in Analytics : Users are able to apply analytics
+ directly to their data by using built-in features such as artificial
+ intelligence (AI), machine learning (ML), graph, spatial, and text
+ analytics.
+ 
+ 
+ 
+ Typical use cases include:
+
+ 
+ 
+- Retail Analytics : Integrates data from online sales, in-store
+ transactions, and customer feedback, optimizing inventory and
+ marketing strategies.
+ 
+ 
+- Financial Services : Analyzes transaction data for fraud detection
+ and regulatory compliance, mitigating risks.
+ 
+ 
+- Healthcare Analytics : Integrates patient data from EHRs, lab
+ results, and wearable devices, improving patient care and health
+ management.
+ 
+ 
+ 
+This architecture enables enterprise customers across industries to
+ leverage data effectively to empower their business users to make informed
+ decisions to drive better business outcomes.
+
+ 
+
+ 
+ 
+Logical Architecture
+
+ 
+
+ 
+ The analytical data lake can ingest data from multiple sources and can
+ provide business insights by using Power BI running on Microsoft Azure.
+
+ 
+ 
+- Data Sources: The analytical data lake can ingest data from multiple
+ sources. Azure Data Factory can ingest data from Microsoft SQL Server and Azure Blob
+ Storage. Oracle Database@Azure can ingest data from Oracle Cloud
+ ERP , Oracle Cloud
+ Infrastructure Object Storage , Azure Cosmos Database, Azure SQL Database, various types of table storage data
+ (Azure, PostgresSQL, Azure MariaDB), and other types of on-premises relational
+ databases.
+ 
+ 
+- Data Tier: Oracle Database@Azure ingests source data from Azure Data Lake Storage in conjunction with Azure Data
+ Factory. 
+ 
+ 
+- Consumption Tier: Oracle Database@Azure provides insights to Microsoft Power BI running on Microsoft Azure.
+ 
+ 
+ 
+The following diagram illustrates the functional architecture:
+
+ 
+ Description of the illustration data-lake-db-azure-process.png 
+
+ data-lake-db-azure-process-oracle.zip 
+
+ 
+
+ 
+
+ 
+ 
+Medallion Architecture
+
+ 
+
+ 
+This section demonstrates how you can deploy Oracle Database@Azure as the data warehouse within the Azure medallion architecture.
+ 
+
+ 
+The medallion architecture is a data management framework that
+ structures data handling in a data lakehouse into distinct stages (bronze,
+ silver, and gold), representing the different stages of data processing:
+
+ 
+ 
+- Bronze stage: Data from various sources is ingested,
+ validated, and curated. 
+ 
+- Silver stage: The data is stored and processed for analytics
+ and reporting. 
+ 
+- Gold stage: Refined data is delivered for analysis and
+ reporting. 
+ 
+ 
+The following diagram illustrates the architecture:
+
+ 
+ Description of the illustration data-lake-db-azure-medallion.png 
+
+ data-lake-db-azure-medallion-oracle.zip 
+
+ 
+
+ 
+The medallion stages are further divided into the following
+ deployment areas:
+
+ 
+ 
+- Ingestion Framework: Ingests data from various data sources
+ using Azure Data Factory. Raw data is stored in Azure Data Lake
+ Storage Gen 2 and Delta Lake. This framework ensures data
+ consistency and accuracy across source and sink systems. This
+ framework constitutes a robust set of scripts to ensure quality by
+ using audit, balance and control mechanisms across platforms. 
+ 
+- Validation: Raw data is ingested into Oracle Autonomous Data Warehouse Serverless or Oracle Exadata Database
+ Service for deduplication and data quality check. This workflow performs
+ basic cleansing masking of PII and PHI data along with validation of
+ raw files through a rules-driven framework to perform schema checks.
+ The validation framework can be implemented using Azure Data
+ Factory. 
+ 
+ 
+- Rejection Workflow: Any record that is rejected during the
+ ingestion stage due to validation errors or other processing errors
+ is staged on a separate Azure Data Lake Storage path. Automated
+ email notifications using Logic App are sent to the support team
+ based on defined software license agreements (SLAs). Standardized
+ data remains in Oracle Autonomous Data Warehouse Serverless or Oracle Exadata Database
+ Service .
+ 
+ 
+- Orchestration: A scheduling system manages data processing
+ jobs, scheduling, and job dependencies. Azure Data Factory can be
+ used for the orchestration of ETL jobs. The Orchestration stage
+ includes Oracle Autonomous Data Warehouse Serverless or Oracle Exadata Database
+ Service , Delta Lake, and Azure Data Lake Storage Gen 2.
+ 
+ 
+- Reporting/Analytics: The reporting stage includes Power BI
+ and data services such as external feeds and data monetization. 
+ 
+ 
+The architecture has the following infrastructure components:
+
+ 
+ 
+- Region 
+An Azure region is a
+ geographical area in which one or more physical Azure data
+ centers, called availability zones, reside. Regions are
+ independent of other regions, and vast distances can
+ separate them (across countries or even continents).
+
+ 
+Azure and OCI regions are localized geographic
+ areas. For Oracle Database@Azure , an Azure region is connected to an OCI region, with
+ availability zones (AZs) in Azure connected to availability
+ domains (ADs) in OCI. Azure and OCI region pairs are
+ selected to minimize distance and latency.
+ 
+
+ 
+ 
+- Availability zone 
+An availability zone
+ is a physically separate data center within a region
+ designed to be available and fault-tolerant. Availability
+ zones are close enough to have low-latency connections to
+ other availability zones.
+
+ 
+ 
+- Virtual network (VNet) and subnet 
+A
+ VNet is a virtual network that you define in Azure. A VNet
+ can have multiple non-overlapping CIDR blocks subnets that
+ you can add after your create the VNet. You can segment a
+ VNet into subnets, which can be scoped to a region or to an
+ availability zones. Each subnet consists of a contiguous
+ range of addresses that

kb/diagram/assets/archcenter-refs/analytics-pipeline-db-at-azure/data-lake-db-at-azure-process-oracle/data-lake-db-at-azure-process.drawio

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+The diagram you downloaded is available in these formats:
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+- SVG
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+You can customize them for your organization using the associated tools:
+- For DRAWIO format, use draw.io for Confluence, online at diagrams.net, or the desktop app. Go to diagrams.net for more information.
+- For SVG format, use an SVG editor such as Inkscape or Sketsa SVG Editor, which are free and available for Windows, macOS, Linux.

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