qmd

Query and locate information across Markdown knowledge sources using QMD.

1|Updated Apr 15, 2026

Search Tags:#documentation #markdown #cli #search #mcp #knowledge-base #qmd

Ready to run

npx skills add https://github.com/Paradiddle131/global-ai-customizations --skill qmd-paradiddle131

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qmd
Source: https://github.com/Paradiddle131/global-ai-customizations/tree/main/skills/qmd
Command: npx skills add https://github.com/Paradiddle131/global-ai-customizations --skill qmd-paradiddle131

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Search across Markdown knowledge bases, notes, and documentation quickly and accurately.

Core Features & Use Cases

Local search engine for Markdown content and notes
MCP integration and CLI tools for querying, indexing, and retrieval
HTTP API support for remote or embedded search capabilities
Use Case: Quickly locate a function signature or policy paragraph across a large Markdown knowledge base

Quick Start

Install the qmd CLI globally and run a simple query to search your Markdown notes.

Frequently Asked Questions about qmd

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

FAQPage Schema

How do I search across local Markdown knowledge bases for specific text?▼

You can search Markdown knowledge bases by using a local search engine that indexes notes and documentation for rapid discovery. It allows you to quickly locate specific text, function signatures, or policy paragraphs across local repositories.

Does Markdown search work with MCP integration and CLI tools?▼

Markdown search supports MCP integration and CLI tools for querying, indexing, and retrieval. It also provides HTTP API support for remote or embedded search capabilities across your local knowledge sources.

Do I need npm to install a Markdown search CLI for my notes?▼

Yes, you need npm to install the qmd CLI globally to search your Markdown notes. Once installed, you can run a simple query to locate information across your local Markdown knowledge base.

What is the best way to locate a function signature across large documentation files?▼

The best way to locate a function signature across large documentation files is using a fast local search engine for Markdown content. It enables rapid discovery of specific information across Markdown knowledge sources.

Can I use an HTTP API to query Markdown documentation remotely?▼

Yes, you can use an HTTP API to query Markdown documentation remotely. The search capability provides HTTP API support for embedded or remote retrieval across Markdown knowledge sources.

When do I need a local search engine for Markdown content?▼

You need a local search engine for Markdown content when you must quickly and accurately search across Markdown knowledge bases, notes, and documentation. It is applicable for rapid discovery in development and research contexts.