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

foxtrot-docs-v3/reference/helm/charts/app-common-charts-kong.md

@@ -0,0 +1,18 @@
+# kong
+
+![Version: 3.1.3](https://img.shields.io/badge/Version-3.1.3-informational?style=flat-square) ![AppVersion: 3.1.3](https://img.shields.io/badge/AppVersion-3.1.3-informational?style=flat-square)
+
+A Helm chart for triggering Kong Gateway setup workflow
+
+## Values
+
+| Key | Type | Default | Description |
+|-----|------|---------|-------------|
+| appRuntimeBranch | string | `"main"` |  |
+| cloud | string | `"aws"` |  |
+| clusterName | string | `""` |  |
+| region | string | `"eu-west-1"` |  |
+| workflow.namespace | string | `"kong"` |  |
+
+----------------------------------------------
+Autogenerated from chart metadata using [helm-docs v1.14.2](https://github.com/norwoodj/helm-docs/releases/v1.14.2)