Agent skill · Content & Marketing

mcp-local-rag

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill mcp-local-rag --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/ai-llm/mcp-local-rag/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# MCP Local RAG Skills ## Tools | Tool | Use When | |------|----------| | `ingest_file` | Local files (PDF, DOCX, TXT, MD) | | `ingest_data` | Raw content (HTML, text) with source URL | | `query_documents` | Semantic + keyword hybrid search | | `delete_file` / `list_files` / `status` | Management | ## Search: Core Rules Hybrid search combines vector (semantic) and keyword (BM25). ### Score Interpretation Lower = better match. Use this to filter noise. | Score | Action | |-------|--------| | < 0.3 | Use directly | | 0.3-0.5 | Include if mentions same concept/entity | | > 0.5 | Skip unless no better results | ### Limit Selection | Intent | Limit | |--------|-------| | Specific answer (function, error) | 5 | | General understanding | 10 | | Comprehensive survey | 20 | ### Query Formulation | Situation | Why Transform | Action | |-----------|---------------|--------| | Specific term mentioned | Keyword search needs exact match | KEEP term | | Vague query | Vector search needs semantic signal | ADD context | | Error stack or code block | Long text dilutes relevance | EXTRACT core keywords | | Multiple distinct topics | Single query conflates results | SPLIT queries | | Few/poor results

What's inside
Steps it walks through
  1. Tools
  2. Search: Core Rules
  3. Score Interpretation
  4. Limit Selection
  5. Query Formulation
  6. Query Expansion
  7. Result Selection
  8. Ingestion
  9. ingestfile
  10. ingestdata
  11. References
Ships with 1 file
  • metadata.json
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About this skill
What does the mcp-local-rag skill do?

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill mcp-local-rag --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going