feat: repo-agnostic refactor (BMad spec-test-build loop)

- NEW: repo-profiler.js — deterministic archetype detection (Infra, Frontend, Backend, etc.)
- NEW: extract-dynamic.js — generic extractor replacing hardcoded Foxtrot patterns
- NEW: eval-generator.js — dynamic ground-truth question generation from any repo graph
- NEW: specs/bmad-agnostic-refactor-spec.md — full BMad spec with acceptance criteria
- REFACTORED: prose.js — two-pass LLM synthesis with rich context (shared secrets, ports, service refs)
- REFACTORED: sysdoc.js — wired repo-profiler + extract-dynamic, --legacy escape hatch
- REFACTORED: wiggum-v2.sh — uses eval-generator before benchmarks
- FIXED: graph.js — _edgeSet rebuilt on loadSnapshot() (edge dedup was broken)
- FIXED: graph.js — recursive sortKeys() for deep equality in diffing
- FIXED: prose.js — robust JSON array extraction from LLM output
- FIXED: ratchet.js — syntax validation (node --check) before saving LLM mutations
- FIXED: extract-dynamic.js — centralized state services regex, added console.warn for silent failures
- TESTS: test-eval-generator, test-repo-profiler, test-synthesis-quality + mock fixtures

Eval: 81.5% on Foxtrot (fully repo-agnostic, no hardcoded reference pages)
BMad reviews: Architect B+, Dev Lead B-, TEA B-

specs/agnostic-synthesis-plan.md

@@ -0,0 +1,30 @@
+# Implementation Plan: Repo-Agnostic Synthesis
+
+## 1. Data Collection & Formatting
+We already have the data in `sysdoc.js`:
+- `deepData`: Output of `extract-deep.js` (addons, tfConfigs, scriptParams, helmValues, stateServices).
+- `helmGraph`: The Helm dependencies and charts.
+- `patterns`: System patterns, layers, sync waves.
+- `subs`: The extracted subsystems.
+- *Action*: In `sysdoc.js`, format this raw data into a large stringified JSON or Markdown list to serve as context for the synthesis LLM.
+
+## 2. LLM Synthesis Module (`prose.js`)
+Create a new exported function: `synthesizeReferencePages(extractedContext, outDir, llmOpts)`.
+This function will make parallel or sequential LLM calls to generate specific reference topics based on the extracted context.
+
+**Prompts:**
+*   `network-architecture.md`: Focus on CIDR allocations, VPCs, network routing, NAT, bastions found in the `tfConfigs` and `helmValues`.
+*   `operations.md`: Focus on CI/CD pipelines, Jenkins jobs, branch mappings, timeout parameters, and deployment flows found in `scriptParams` and repo patterns.
+*   `configuration.md`: Focus on config merge orders, region code logic, identifiers, naming conventions, and default values found in `helmValues` and `tfConfigs`.
+*   `dependencies.md`: Focus on vertical layer dependencies, Helm chart consumption (e.g., runtime consuming common), and PR cross-repo dependencies.
+*   `index.md`: An LLM call that takes summaries of the 4 generated pages and produces a keyword-rich routing table.
+
+## 3. Pipeline Update (`sysdoc.js`)
+At the end of the `generateDocs` function, just before writing the final files or after writing the basic ones, check if `opts.prose` is true. If so, call `await proseMod.synthesizeReferencePages(extractedContext, referenceDir, llmOpts)`.
+
+## 4. Cleanup
+- `rm generate-reference-pages.js`
+- Edit `wiggum-v2.sh` to remove the call to `generate-reference-pages.js`.
+
+## 5. Execution
+Run `wiggum-v2.sh` to generate the docs dynamically, then trigger the agent evaluation. The score should remain high without us cheating.