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>

scripts/skill-gen/category-skill-map.json

@@ -0,0 +1,32 @@
+{
+  "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
+  }
+}