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

output/stats.json

@@ -0,0 +1,11 @@
+{
+  "repoRoot": "/home/node/.openclaw/workspace/agents/max/foxtrot/",
+  "filesDiscovered": 17854,
+  "filesExtracted": 17848,
+  "errors": 6,
+  "nodes": 74682,
+  "edges": 113573,
+  "extractionTimeMs": 6107,
+  "avgTimePerFileMs": 0,
+  "timestamp": "2026-03-10T04:44:46.678Z"
+}