Agent skill · data analytics · sundial-org
qmd-6
Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.
Why this skill is useful
Provides specific commands and usage patterns for the qmd CLI that enhance local file search capabilities beyond standard tools.
What it needs
Requires qmd installed locally. About 1k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
qmd — Fast Local Markdown Search When to Use Finding files — use instead of find across large directories (avoids hangs) Searching notes/docs — semantic or keyword search in indexed collections Code discovery — find implementations, configs, or patterns Context gathering — pull relevant snippets before answering questions Quick Reference Search (most common) Collections Get Files Output Formats --files — paths + scores (for file discovery) --json — structured with snippets --md — markdown formatted -n 10 — limit results Tips 1. Always use collections (-c name) to scope searches 2. Run qmd update after adding new files 3. Use qmd embed to enable vector search (one-time, takes a few minutes) 4. Prefer qmd search --files over find for large directories Models (auto-downloaded) Embedding: embeddinggemma-300M Reranking: qwen3-reranker-0.6b Generation: Qwen3-0.6B All run locally — no API keys needed.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/qmd-6