---

name: qmd description: | Local semantic search engine for markdown knowledge bases using qmd (tobi/qmd). Indexes markdown files with BM25 keyword search, vector embeddings for semantic search, and hybrid reranked queries. Auto-indexes on file edits via Claude Code hooks and refreshes embeddings overnight via launchd. Use when searching project docs, knowledge bases, meeting notes, or any indexed markdown collection. allowed-tools: Bash Read Write Edit

qmd - Local Search for Knowledge Bases

Search indexed markdown collections using keyword, semantic, or hybrid search.

When to Use

• Searching project documentation or knowledge bases
• Finding related files before making changes
• Discovering context across many markdown files
• Answering questions that span multiple documents

Quick Start

# Keyword search (fast, BM25)
qmd search "your query" --json -n 10

# Find related files
qmd search "topic" --files -n 20

# Semantic search (requires embeddings)
qmd vsearch "conceptual question" -n 10

# Hybrid search with reranking (best quality, slower)
qmd query "natural language question" --json -n 10

# Get full document content
qmd get "path/to/file.md" --full

Search Modes

Mode	Command	Speed	Best For
Keyword (BM25)	qmd search	Fast	Exact terms, known keywords
Semantic	qmd vsearch	Medium	Conceptual queries, synonyms
Hybrid	qmd query	Slow	Complex questions needing both
File list	qmd search --files	Fast	Finding all related files

Workflows

Before answering a question

qmd search "relevant keywords" --json -n 10

Review results, then read specific files for full context.

After making changes (update cascade)

qmd search "topic you changed" --files -n 20

Review all related files and update any that reference the changed topic.

Writing content that needs project context

qmd search "positioning voice tone" --json -n 10
qmd search "topic for content" --json -n 10

Index Management

# Update text index (fast, ~1 sec)
qmd update

# Update embeddings (slow, ~3-4 min)
qmd embed

# Check index health
qmd status

# List collections
qmd collection list

Setup & Troubleshooting

If qmd is not installed or broken, run the doctor script:

bash ~/.claude/skills/qmd/scripts/doctor.sh

For full installation and automation setup, see setup/README.md.

For the complete command reference, see references/commands.md.

Tips

• Results below score 0.3 are noise - ignore them
• qmd search (BM25) is good enough for day-to-day use
• Only use vsearch when keywords don't match concepts
• After changes, always run --files query to catch ripple effects
• Combine with Read tool: qmd finds files, Read gets full content

Self-Learning

Read LEARNED.md before using this skill. It contains hard-won lessons about what works and what doesn't.

Update LEARNED.md when you discover:

• A query that returned bad results and what worked instead
• Search mode choice that was wrong (e.g. search missed something vsearch found)
• Index issues (stale embeddings, missing files, broken binary)
• Installation or automation gotchas
• CLAUDE.md patterns that worked or failed for enforcing context-first behavior

Consolidation (keep LEARNED.md under 50 lines): Before adding a new entry, check the file length. If it's over 50 lines:

1. Merge duplicate/overlapping entries into single proven patterns
2. Remove entries older than 3 months that haven't been reinforced
3. Drop one-off observations that never recurred
4. Move detailed historical context to LEARNED-archive.md if worth preserving
5. Keep only entries that would change behavior - if it's obvious, cut it