Tobi qmd qmd 1.0.2
Skill VRIL-LABS/skill-jam/skills/document-processing/tobi-qmd-qmd-1.0.2
Search markdown knowledge bases, notes, and documentation using QMD. Use when users ask to search notes, find documents, or look up information.From its SKILL.md
npx -y skills add VRIL-LABS/skill-jam --skill tobi-qmd-qmd-1.0.2Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
3.4 KB, 869 tokens by cl100k_base, as published. Nobody here has run it
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
What ships with it: 1 file
1.9 KB alongside SKILL.md
references/
- mcp-setup.md1.9 KB