Implement rag-search skill for semantic search

Add new skill for semantic search across personal state files and
external documentation using ChromaDB and sentence-transformers.

Components:
- search.py: Main search interface (--index, --top-k flags)
- index_personal.py: Index ~/.claude/state files
- index_docs.py: Index external docs (git repos)
- add_doc_source.py: Manage doc sources
- test_rag.py: Test suite (5/5 passing)

Features:
- Two indexes: personal (116 chunks) and docs (k0s: 846 chunks)
- all-MiniLM-L6-v2 embeddings (384 dimensions)
- ChromaDB persistent storage
- JSON output with ranked results and metadata

Documentation:
- Added to component-registry.json with triggers
- Added /rag command alias
- Updated skills/README.md
- Resolved fc-013 (vector database for agent memory)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

skills/README.md

@@ -12,6 +12,7 @@ Agent skills that extend Claude's capabilities. Model-invoked (Claude decides wh
 | `sysadmin-health` | Arch Linux health check | `health-check.sh` |
 | `usage` | Session usage tracking | `usage_report.py` |
 | `programmer-add-project` | Register projects | (workflow only) |
+| `rag-search` | Semantic search (state + docs) | `search.py`, `index_personal.py`, `index_docs.py` |
 
 ## Skill Structure