Qmd
QMD is a locally-run command-line search engine for your documents, allowing you to index and query your knowledge bases, meeting notes, and other text files.
- •When you have a large collection of unorganized notes and documents and need to find specific information quickly
- •When you want to keep your data local and avoid relying on cloud-based search services
- •When you need to search across multiple file formats, such as Markdown, PDF, and plain text
qmd search 'meeting notes from last week' to find relevant documents containing that phrase
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/qmd && curl -fsSL https://workflowstacks.com/api/skills/qmd/claude-skill -o ~/.claude/skills/qmd/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Qmd is a large TypeScript project (~27k lines across 94 code files, plus 49 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2CLAUDE.mdThe instructions the AI actually follows
- 3bin/qmdWhere the program starts running
- 4src/index.tsInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/qmd && curl -fsSL https://workflowstacks.com/api/skills/qmd/claude-skill -o ~/.claude/skills/qmd/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Includes the tested workflow and a written setup playbook. Needs: No extra API — just watches the pages you list.
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