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// Skill profile

QMD - Local Markdown Search

description: Search and retrieve markdown documents from local knowledge bases using qmd. Supports BM25 keyword search, vector semantic search, and hybrid search with LLM re-ranking. Use for querying

by davidsteelerose · published 2026-03-22

开发工具API集成加密货币
Total installs
0
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Last updated
2026-03
// Install command
$ claw add gh:davidsteelerose/davidsteelerose-k2ljl-qmd
View on GitHub
// Full documentation

---

name: qmd

description: Search and retrieve markdown documents from local knowledge bases using qmd. Supports BM25 keyword search, vector semantic search, and hybrid search with LLM re-ranking. Use for querying indexed notes, documentation, meeting transcripts, and any markdown-based knowledge. Requires qmd CLI installed (bun install -g https://github.com/tobi/qmd).

---

# QMD - Local Markdown Search

Search and retrieve documents from locally indexed markdown knowledge bases.

Installation

bun install -g https://github.com/tobi/qmd

Setup

# Add a collection
qmd collection add ~/notes --name notes --mask "**/*.md"

# Generate embeddings (required for vsearch/query)
qmd embed

Usage Rules

**Always use `--json` flag** for structured output when invoking qmd commands.

Search Commands

search (BM25 keyword search - fast)

qmd search "authentication flow" --json
qmd search "error handling" --json -n 10
qmd search "config" --json -c notes

vsearch (vector semantic search)

qmd vsearch "how does login work" --json
qmd vsearch "authentication best practices" --json -n 20

query (hybrid with LLM re-ranking - best quality)

qmd query "implementing user auth" --json
qmd query "deployment process" --json --min-score 0.5

Search Options

| Option | Description |

|--------|-------------|

| `-n NUM` | Number of results (default: 5, or 20 with --json) |

| `-c, --collection NAME` | Restrict to specific collection |

| `--min-score NUM` | Minimum score threshold |

| `--full` | Return complete document content in results |

| `--all` | Return all matches |

Retrieval Commands

get (single document)

qmd get docs/guide.md --json
qmd get "#a1b2c3" --json
qmd get notes/meeting.md:50 -l 100 --json

multi-get (multiple documents)

qmd multi-get "docs/*.md" --json
qmd multi-get "api.md, guide.md, #abc123" --json
qmd multi-get "notes/**/*.md" --json --max-bytes 20480

Maintenance Commands

qmd update              # Re-index changed files
qmd status              # Check index health
qmd collection list     # List all collections

Search Mode Selection

| Mode | Speed | Quality | Best For |

|------|-------|---------|----------|

| search | Fast | Good | Exact keywords, known terms |

| vsearch | Medium | Better | Conceptual queries, synonyms |

| query | Slow | Best | Complex questions, uncertain terms |

**Performance note:** `vsearch` and `query` have ~1 minute cold start latency for vector initialization. Prefer `search` for interactive use.

MCP Server

qmd can run as an MCP server for direct integration:

qmd mcp

Exposes tools: `qmd_search`, `qmd_vsearch`, `qmd_query`, `qmd_get`, `qmd_multi_get`, `qmd_status`

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