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chore(ms-ai-architect): Sesjon 5 carry-forward A — slett ukonsumert category-skill-map.json

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Map-fila divergerte fra disk-sannhet i 4 entries og var ukonsumert av all runtime (verifisert: docs/development.md erklærte allerede taksonomien som eneste kilde; kun README kalte den feilaktig «used by generate-skills»). Operatør-valg 2026-06-19: slett + rydd README. Fjerner en av de divergerende taksonomiene redesignet finnes for å eliminere.

README.md peker nå på scripts/kb-update/data/domain-taxonomy.json via lib/taxonomy.mjs getCategorySkill (disk-sann).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ
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Kjell Tore Guttormsen 2026-06-19 22:30:49 +02:00
commit 97aa5d3378
2 changed files with 1 additions and 33 deletions
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2
README.md
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@ -651,7 +651,7 @@ node scripts/kb-update/build-registry.mjs [--merge]
/architect:generate-skills
```
Category-to-skill routing is defined in `scripts/skill-gen/category-skill-map.json` (20 categories mapped to 5 skills), used by the generate-skills workflow to place new reference documents in the correct skill directory.
Category-to-skill routing is defined in `scripts/kb-update/data/domain-taxonomy.json` (the lag-0 single source of truth, read via `lib/taxonomy.mjs` → `getCategorySkill`). It uses physical-disk truth and supersedes the old `category-skill-map.json` (removed — it had drifted from disk and was consumed by no code).
---

32
scripts/skill-gen/category-skill-map.json
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@ -1,32 +0,0 @@
{
"version": "1.0",
"description": "Maps KB categories to their target skill directories",
"mapping": {
"rag-architecture": "ms-ai-engineering",
"azure-ai-services": "ms-ai-engineering",
"copilot-extensibility": "ms-ai-engineering",
"prompt-engineering": "ms-ai-engineering",
"data-engineering": "ms-ai-engineering",
"api-management": "ms-ai-engineering",
"agent-orchestration": "ms-ai-engineering",
"multi-modal": "ms-ai-engineering",
"mlops-genaiops": "ms-ai-engineering",
"performance-scalability": "ms-ai-engineering",
"monitoring-observability": "ms-ai-engineering",
"responsible-ai": "ms-ai-governance",
"norwegian-public-sector-governance": "ms-ai-governance",
"cost-optimization": "ms-ai-security",
"ai-security-engineering": "ms-ai-security",
"security-scoring": "ms-ai-security",
"hybrid-edge": "ms-ai-infrastructure",
"bcdr": "ms-ai-infrastructure",
"platforms": "ms-ai-advisor",
"architecture": "ms-ai-advisor"
},
"priority_thresholds": {
"critical": 30,
"high": 60,
"medium": 90,
"low": 180
}
}