QMD - Quick Markdown Search
SkillSearchSearch markdown knowledge bases, notes, and documentation using QMD. Use when users ask to search notes, find documents, or look up information.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the QMD - Quick Markdown Search skill
What this skill tells your AI
The instructions your AI receives, as published by pedronauck/skills in skills/curated/qmd/SKILL.md and read by ahel’s review.
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
Intent (Disambiguation)
When a query term is ambiguous, add intent to steer results:
{
"searches": [
{ "type": "lex", "query": "performance" }
],
"intent": "web page load times and Core Web Vitals"
}
Intent affects expansion, reranking, chunk selection, and snippet extraction. It does not search on its own — it's a steering signal that disambiguates queries like "performance" (web-perf vs team health vs fitness).
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 |
| Ambiguous query | Add intent to any combination above |
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 query --json --explain "q" # Show score traces (RRF + rerank blend)
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
Signals
- GitHub stars
- 611
- Forks
- 88
- Last commit
- Sep 2026
ahel review
K1binfo
installs-packagesK1binfo
installs-packages (in references/mcp-setup.md)
Automated review, not a security audit. Ruleset v1+k2.
Others that do the same job
Advanced
- Catalog kind
- skill
- Gateway key
qmd-pedronauck- Source
- github.com/pedronauck/skills