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

extract.js

@@ -15,6 +15,7 @@ const GRAMMARS = {
 };
 
 const { extractYaml, extractHcl } = require('./extract-config.js');
+const { extractTerraform } = require('./extract-terraform.js');
 
 const EXT_MAP = {
   '.ts': 'typescript', '.tsx': 'tsx', '.js': 'javascript', '.jsx': 'javascript',
@@ -192,7 +193,7 @@ function extract(filePath, repoRoot) {
   }
 
   if (lang === 'yaml') return extractYaml(filePath, repoRoot);
-  if (lang === 'hcl') return extractHcl(filePath, repoRoot);
+  if (lang === 'hcl') return extractTerraform(filePath, repoRoot);
 
   const grammar = GRAMMARS[lang];
   const adapter = ADAPTERS[lang];