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 markdown files", "search my notes", "find in docs", "look up", "what did I write about", "meeting notes about".
Install
mkdir -p .claude/skills/qmd && curl -L -o skill.zip "https://mcp.directory/api/skills/download/1046" && unzip -o skill.zip -d .claude/skills/qmd && rm skill.zipInstalls to .claude/skills/qmd
About this skill
QMD - Quick Markdown Search
Local search engine for markdown content.
Status
!qmd status 2>/dev/null || echo "Not installed: npm install -g @tobilu/qmd"
MCP: query
{
"searches": [
{ "type": "lex", "query": "CAP theorem consistency" },
{ "type": "vec", "query": "tradeoff between consistency and availability" }
],
"collections": ["docs"],
"limit": 10
}
Query Types
| Type | Method | Input |
|---|---|---|
lex | BM25 | Keywords — exact terms, names, code |
vec | Vector | Question — natural language |
hyde | Vector | Answer — hypothetical result (50-100 words) |
Writing Good Queries
lex (keyword)
- 2-5 terms, no filler words
- Exact phrase:
"connection pool"(quoted) - Exclude terms:
performance -sports(minus prefix) - Code identifiers work:
handleError async
vec (semantic)
- Full natural language question
- Be specific:
"how does the rate limiter handle burst traffic" - Include context:
"in the payment service, how are refunds processed"
hyde (hypothetical document)
- Write 50-100 words of what the answer looks like
- Use the vocabulary you expect in the result
expand (auto-expand)
- Use a single-line query (implicit) or
expand: questionon its own line - Lets the local LLM generate lex/vec/hyde variations
- Do not mix
expand:with other typed lines — it's either a standalone expand query or a full query document
Combining Types
| Goal | Approach |
|---|---|
| Know exact terms | lex only |
| Don't know vocabulary | Use a single-line query (implicit expand:) or vec |
| Best recall | lex + vec |
| Complex topic | lex + vec + hyde |
First query gets 2x weight in fusion — put your best guess first.
Lex Query Syntax
| Syntax | Meaning | Example |
|---|---|---|
term | Prefix match | perf matches "performance" |
"phrase" | Exact phrase | "rate limiter" |
-term | Exclude | performance -sports |
Note: -term only works in lex queries, not vec/hyde.
Collection Filtering
{ "collections": ["docs"] } // Single
{ "collections": ["docs", "notes"] } // Multiple (OR)
Omit to search all collections.
Other MCP Tools
| Tool | Use |
|---|---|
get | Retrieve doc by path or #docid |
multi_get | Retrieve multiple by glob/list |
status | Collections and health |
CLI
qmd query "question" # Auto-expand + rerank
qmd query $'lex: X\nvec: Y' # Structured
qmd query $'expand: question' # Explicit expand
qmd search "keywords" # BM25 only (no LLM)
qmd get "#abc123" # By docid
qmd multi-get "journals/2026-*.md" -l 40 # Batch pull snippets by glob
qmd multi-get notes/foo.md,notes/bar.md # Comma-separated list, preserves order
HTTP API
curl -X POST http://localhost:8181/query \
-H "Content-Type: application/json" \
-d '{"searches": [{"type": "lex", "query": "test"}]}'
Setup
npm install -g @tobilu/qmd
qmd collection add ~/notes --name notes
qmd embed
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