Index and query Markdown content locally with keyword and semantic search.
npx skills add https://github.com/tan-yong-sheng/GrowChat --skill qmd-tan-yong-sheng
Please help me install this Agent Skill. Skill: qmd Source: https://github.com/tan-yong-sheng/GrowChat/tree/main/.claude/skills/qmd Command: npx skills add https://github.com/tan-yong-sheng/GrowChat --skill qmd-tan-yong-sheng
Markdown content often lives in scattered notes and documents, making retrieval slow and manual. QMD provides fast local search across Markdown knowledge bases, notes, and documentation by indexing and querying content locally.
Install qmd globally and index your Markdown collections, then start querying with keywords or natural language.
High-intent search queries and answers about installing and using this skill.
Local search for Markdown notes is enabled by installing the qmd CLI globally via npm to index your knowledge bases, allowing fast keyword and semantic retrieval directly on your machine.
The best way to find a specific document in a large Markdown knowledge base is using a local indexing tool like qmd, which enables fast querying across scattered notes and documents without manual searching.
Yes, qmd works with an MCP server to integrate local Markdown search directly with Claude-like clients, enabling you to query your indexed notes and documentation seamlessly within your assistant environment.
Yes, you need to install the qmd tooling globally using npm install -g @tobilu/qmd to index and query your Markdown data, which provides the fast local search functionality over your knowledge bases.
Local Markdown indexing handles scattered notes by scanning and indexing content across your file system, enabling fast retrieval of specific policies or notes across a large Markdown collection without relying on external servers.
Amar1404Install Marp CLI globally and verify its version via npm.
woosulIndex and query markdown files with lexical and vector search.
brittaniebuffiecsuSearch local markdown knowledge bases with hybrid keyword and semantic matching.
MrGKanevIndex Markdown notes locally and search via keyword, semantic, or hybrid modes.
