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qmd

Index and search markdown knowledge bases with keyword, semantic, and AI-enhanced retrieval.

3|1|Updated May 19, 2026
Search Tags:#knowledge retrieval#search#knowledge base#local AI#document search
One-click install
npx skills add https://github.com/Quill-Agent/Quill-Agent --skill qmd-quill-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: qmd
Source: https://github.com/Quill-Agent/Quill-Agent/tree/main/optional-skills/research/qmd
Command: npx skills add https://github.com/Quill-Agent/Quill-Agent --skill qmd-quill-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @tobilu/qmd, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of quickly finding information within local knowledge bases, notes, documents, and meeting transcripts without the need for cloud services.

Core Features & Use Cases

  • Local Search Engine: Indexes and searches markdown notes, meeting transcripts, and documentation.
  • Hybrid Search: Combines keyword matching, semantic understanding, and LLM reranking for precise results.
  • CLI & MCP Integration: Offers a command-line interface and can be integrated with the Quill Agent via MCP for seamless operation.
  • Use Case: For instance, if you need to find notes about a specific concept or find a meeting transcript from a few months ago, you can use qmd to do so.

Quick Start

To get started, add your documents to qmd collections and then search for information by simply typing 'qmd search "query"'.

Frequently Asked Questions about qmd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search local markdown notes and meeting transcripts without cloud services?▼

To search local markdown notes without cloud services, you can use a local full-text search engine to index and retrieve information from your knowledge base entirely on-premise.

What is the best way to find specific concepts in a personal knowledge base?▼

The best way to find specific concepts in a personal knowledge base is using hybrid search, which combines keyword matching, semantic understanding, and AI reranking for precise document retrieval.

Can I integrate local document search with an AI agent via MCP?▼

Yes, you can integrate local document search with an AI agent via MCP, allowing seamless operation and query execution directly through the Quill Agent command-line interface.

Do I need to manually index my markdown documentation before querying it?▼

Yes, you need to manually index your markdown documentation by adding files to collections before querying, which prepares the local search engine for immediate information retrieval.

Does local knowledge base search support semantic and keyword matching combined?▼

Yes, local knowledge base search supports a hybrid approach, combining semantic understanding and keyword matching with LLM reranking to deliver highly accurate search results from your documentation.

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