Agent skill · data analytics · sundial-org

qmd

Local search/indexing CLI (BM25 + vectors + rerank) with MCP mode.

Why this skill is useful

Provides specific commands for indexing and searching local files that the AI wouldn't reliably generate on its own.

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 Use qmd to index local files and search them. Indexing Add collection: qmd collection add /path --name docs --mask "/.md" Update index: qmd update Status: qmd status Search BM25: qmd search "query" Vector: qmd vsearch "query" Hybrid: qmd query "query" Get doc: qmd get docs/path.md:10 -l 40 Notes Embeddings/rerank use Ollama at OLLAMAURL (default http://localhost:11434). Index lives under ~/.cache/qmd by default. MCP mode: qmd mcp.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills sundial-org/qmd

View the source on GitHub

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