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

fix-sysdoc-waves.js

@@ -0,0 +1,10 @@
+const fs = require('fs');
+let lines = fs.readFileSync('/home/node/.openclaw/workspace/projects/dev-intel-v2/sysdoc.js', 'utf8').split('\n');
+
+// Clear the garbage
+lines[277] = "  helmIndexContent += patterns.syncWaves.map(w => `| ${w.wave} | ${w.resources.length} | ${w.resources.slice(0, 5).map(r => r.kind + ':' + r.name).join(', ')}${w.resources.length > 5 ? '...' : ''} |`).join('\\n') + '\\n\\n';";
+lines[278] = "";
+lines[279] = "";
+lines[280] = "";
+
+fs.writeFileSync('/home/node/.openclaw/workspace/projects/dev-intel-v2/sysdoc.js', lines.join('\n'));