qmd

Search markdown collections with full-text and semantic queries.

Updated Feb 16, 2026
One-click install
npx skills add https://github.com/kingkillery/pk-qmd --skill qmd-kingkillery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qmd
Source: https://github.com/kingkillery/pk-qmd/tree/main/skills/qmd
Command: npx skills add https://github.com/kingkillery/pk-qmd --skill qmd-kingkillery

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 helps users quickly find information from their markdown notes, documentation, and knowledge bases, making it easier to search and retrieve content.

Core Features & Use Cases

  • Full-text and Semantic Search: Search for documents using keywords or natural language queries.
  • Contextual Search: Search within specific collections or with added context for better search results.
  • Integration with AI Agents: Use the skill with AI agents for enhanced discovery and context-aware information retrieval.
  • Use Case: For a user looking for a specific process document, this Skill can quickly locate the document and provide the necessary information.

Quick Start

Use the qmd skill to search for "quarterly planning process".

Frequently Asked Questions about qmd

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

FAQPage Schema
How do I search markdown knowledge bases using natural language?

You can search markdown knowledge bases using natural language by leveraging semantic search and contextual filtering to retrieve relevant documents from your local storage collections.

Can I use full-text search to extract information from local markdown documentation?

Yes, you can use full-text search to extract information from local markdown documentation, querying specific collections to quickly locate process documents and retrieve necessary content.

Does the qmd skill require a local markdown collection to function?

Yes, the qmd skill requires a local markdown collection and the QMD CLI or MCP server to function properly, serving as an ideal knowledge base management tool within agentic workflows.

What is the best way to locate specific process documents within markdown notes?

The best way to locate specific process documents within markdown notes is to query your local storage with added context, enabling contextual search for better and more accurate results.

Do I need an AI agent to perform semantic search on markdown files?

You do not strictly need an AI agent to perform semantic search on markdown files, but integrating the skill with AI agents enables enhanced discovery and context-aware information retrieval.

What are the limitations of using qmd for markdown document retrieval?

A limitation of using qmd for markdown document retrieval is its dependency on local storage and the QMD CLI/MCP server, restricting its use to local markdown collections rather than remote databases.