qmd

安装量: 882
排名: #4564

安装

npx skills add https://github.com/tobi/qmd --skill qmd

Contains Shell Commands This skill contains shell command directives ( !command ) that may execute system commands. Review carefully before installing. 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: question on 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 \n vec: 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

返回排行榜