ms-ai-architect/scripts/skill-gen/category-skill-map.json
Kjell Tore Guttormsen baa2d0220b feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command
Add /ultraresearch-local for structured research combining local codebase
analysis with external knowledge via parallel agent swarms. Produces research
briefs with triangulation, confidence ratings, and source quality assessment.

New command: /ultraresearch-local with modes --quick, --local, --external, --fg.
New agents: research-orchestrator (opus), docs-researcher, community-researcher,
security-researcher, contrarian-researcher, gemini-bridge (all sonnet).
New template: research-brief-template.md.

Integration: --research flag in /ultraplan-local accepts pre-built research
briefs (up to 3), enriches the interview and exploration phases. Planning
orchestrator cross-references brief findings during synthesis.

Design principle: Context Engineering — right information to right agent at
right time. Research briefs are structured artifacts in the pipeline:
ultraresearch → brief → ultraplan --research → plan → ultraexecute.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-08 08:58:35 +02:00

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{
"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
}
}