How do I install the Qmd skill?

Run npx skillmds@latest add hasparus/qmd in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Qmd?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

hasparus (@hasparus) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Qmd by hasparus — Agent Skill

Name: Qmd
Rating: 4.666666666666667 (3 reviews)
Author: hasparus

Qmd

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".

hasparus Updated Sep 10, 2026

File contents

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:

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

# 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

-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

# 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

# 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

Score	Meaning	Action
0.8 - 1.0	Highly relevant	Show to user
0.5 - 0.8	Moderately relevant	Include if few results
0.2 - 0.5	Somewhat relevant	Only if user wants more
0.0 - 0.2	Low relevance	Usually skip

Recommended Workflow

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

Example: Finding Meeting Notes

# 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

# 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

---name: qmddescription: 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---# QMD - Quick Markdown SearchQMD 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 CommandsChoose 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 |```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 pathqmd 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 reviewqmd get "docs/api.md" --line-numbers# Get multiple documents by glob patternqmd multi-get "docs/*.md"# Get multiple documents by listqmd multi-get "doc1.md, doc2.md, #abc123"```## Index Management```sh# Check index status and available collectionsqmd status# List all collectionsqmd collection list# List files in a collectionqmd ls <collection-name># Update index (re-scan files for changes)qmd update```## Score Interpretation| Score | Meaning | Action || --------- | ------------------- | ----------------------- || 0.8 - 1.0 | Highly relevant | Show to user || 0.5 - 0.8 | Moderately relevant | Include if few results || 0.2 - 0.5 | Somewhat relevant | Only if user wants more || 0.0 - 0.2 | Low relevance | Usually skip |## Recommended Workflow1. **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 topicqmd search "quarterly review" -c meetings -n 5# Get semantic matchesqmd vsearch "performance discussion" -c meetings# Retrieve the full meeting notesqmd get "#abc123" --full```## Example: Research Across All Notes```sh# Hybrid search for best resultsqmd query "authentication implementation" --min-score 0.3 --json# Get all relevant files for deeper analysisqmd query "auth flow" --all --files --min-score 0.4```

Frequently asked questions

Qmd