Search personal markdown knowledge bases, notes, meeting transcripts, and documentation using QMD - a local hybrid search engine. Combines BM25 keyword search, vector semantic search, and LLM re-ranking. Use when users ask to search notes, find documents, look up information in their knowledge base, retrieve meeting notes, or search documentation. Triggers on "search markdown files", "search my notes", "find in docs", "look up", "what did I write about", "meeting notes about".
View on GitHubskills/qmd/SKILL.md
February 3, 2026
Select agents to install to:
npx add-skill https://github.com/tobi/qmd/blob/main/skills/qmd/SKILL.md -a claude-code --skill qmdInstallation paths:
.claude/skills/qmd/# QMD - Quick Markdown Search QMD is a local, on-device search engine for markdown content. It indexes your notes, meeting transcripts, documentation, and knowledge bases for fast retrieval. ## QMD Status !`qmd status 2>/dev/null || echo "Not installed. Run: bun install -g https://github.com/tobi/qmd"` ## When to Use This Skill - User asks to search their notes, documents, or knowledge base - User needs to find information in their markdown files - User wants to retrieve specific documents or search across collections - User asks "what did I write about X" or "find my notes on Y" - User needs semantic search (conceptual similarity) not just keyword matching - User mentions meeting notes, transcripts, or documentation lookup ## Search Commands Choose the right search mode for the task: | Command | Use When | Speed | |---------|----------|-------| | `qmd search` | Exact keyword matches needed | Fast | | `qmd vsearch` | Keywords aren't working, need conceptual matches | Medium | | `qmd query` | Best results needed, speed not critical | Slower | ```bash # Fast keyword search (BM25) qmd search "your query" # Semantic vector search (finds conceptually similar content) qmd vsearch "your query" # Hybrid search with re-ranking (best quality) qmd query "your query" ``` ## Common Options ```bash -n <num> # Number of results (default: 5) -c, --collection <name> # Restrict to specific collection --all # Return all matches --min-score <num> # Minimum score threshold (0.0-1.0) --full # Show full document content --json # JSON output for processing --files # List files with scores --line-numbers # Add line numbers to output ``` ## Document Retrieval ```bash # Get document by path qmd get "collection/path/to/doc.md" # Get document by docid (shown in search results as #abc123) qmd get "#abc123" # Get with line numbers for code review qmd get "docs/api.md" --line-