AgentSkillsCN

qmd

使用 QMD——一款本地混合搜索引擎——搜索个人 Markdown 知识库、笔记、会议记录与文档。QMD 结合了 BM25 关键词搜索、向量语义搜索，以及 LLM 重新排序功能。当用户要求搜索笔记、查找文档、在知识库中检索信息、获取会议记录，或搜索相关文档时，可使用此技能。可通过“search my notes”、“find in docs”、“look up”、“what did I write about”、“meeting notes about”等短语来触发该技能。

SKILL.md
--- frontmatter
name: qmd
description: 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 my notes", "find in docs", "look up", "what did I write about", "meeting notes about".
license: MIT
compatibility: Requires qmd installed via `bun install -g https://github.com/tobi/qmd`. Works with Claude Code CLI and MCP-compatible agents.
metadata:
  author: tobi
  version: "1.0"
allowed-tools: Bash(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.

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:

CommandUse WhenSpeed
qmd searchExact keyword matches neededFast
qmd vsearchKeywords aren't working, need conceptual matchesMedium
qmd queryBest results needed, speed not criticalSlower
sh
# 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

sh
-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

sh
# 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-numbers

# Get multiple documents by glob pattern
qmd multi-get "docs/*.md"

# Get multiple documents by list
qmd multi-get "doc1.md, doc2.md, #abc123"

Index Management

sh
# Check index status and available collections
qmd status

# List all collections
qmd collection list

# List files in a collection
qmd ls <collection-name>

# Update index (re-scan files for changes)
qmd update

Score Interpretation

ScoreMeaningAction
0.8 - 1.0Highly relevantShow to user
0.5 - 0.8Moderately relevantInclude if few results
0.2 - 0.5Somewhat relevantOnly if user wants more
0.0 - 0.2Low relevanceUsually skip

Recommended Workflow

  1. •Check what's available: qmd status
  2. •Start with keyword search: qmd search "topic" -n 10
  3. •Try semantic if needed: qmd vsearch "describe the concept"
  4. •Use hybrid for best results: qmd query "question" --min-score 0.4
  5. •Retrieve full documents: qmd get "#docid" --full

Example: Finding Meeting Notes

sh
# Search for meetings about a topic
qmd search "quarterly review" -c meetings -n 5

# Get semantic matches
qmd vsearch "performance discussion" -c meetings

# Retrieve the full meeting notes
qmd get "#abc123" --full

Example: Research Across All Notes

sh
# Hybrid search for best results
qmd query "authentication implementation" --min-score 0.3 --json

# Get all relevant files for deeper analysis
qmd query "auth flow" --all --files --min-score 0.4