feat: confluence benchmark, pattern extractor, agent KB, UX spec

- extract-patterns.js: mines layered arch, ArgoCD appsets, cloud regions,
  CIDR allocations, naming conventions, sync waves, tech stack from code
- agent-kb.js: token-efficient JSON rendering of same doc tree
- eval-confluence-ref-questions.json: 32 reference-only benchmark questions
- wiggum-v2.sh: Ralph Wiggum loop targeting confluence baseline (77.8%)
- docs/human-ux-spec.md: BMad UX designer spec for human doc structure
- Eval results: V2 at 28.7% vs confluence 77.8% baseline
- Hub/spoke ownership now correctly extracted (95% on that question)
- Naming conventions, regions, CIDRs surfaced in system-architecture.md

pipeline.js

@@ -17,7 +17,9 @@ const SUPPORTED_EXTS = new Set([
 
 const IGNORE_DIRS = new Set([
   'node_modules', '.git', 'dist', 'build', '__pycache__', '.next',
-  '.turbo', 'coverage', '.nyc_output', 'vendor',
+  '.turbo', 'coverage', '.nyc_output', 'vendor', 'venv',
+  '.codex', '.claude', '.cursor', '.gemini', '.kiro', '.agents',
+  '_bmad', '_bmad-output', '.terraform', 'skills', '.ci', 'docs', '.workdir',
 ]);
 
 const SCRIPT_DIR = __dirname;