qmd

Index, embed, and semantically search local Markdown documents with the qmd CLI.

Updated Aug 23, 2026

Search Tags:#markdown #embeddings #CLI #semantic-search #local-indexing #vector-store #qmd

Ready to run

npx skills add https://github.com/pascalandy/dotfiles --skill qmd-pascalandy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qmd
Source: https://github.com/pascalandy/dotfiles/tree/main/dot_config/opencode/skill/qmd
Command: npx skills add https://github.com/pascalandy/dotfiles --skill qmd-pascalandy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the indexing, embedding, and semantic search of markdown knowledge bases on local machines, enabling fast retrieval and exploration without external services.

Core Features & Use Cases

Indexing & Embedding: Create vector representations of markdown documents for quick similarity search.
Semantic Search: Query knowledge bases with context-aware results using qmd CLI.
Use Case: Imagine you have a local knowledge repo of notes in markdown; you can index them, update embeddings, and perform fast semantic searches to locate relevant content.

Quick Start

Use the qmd skill to index the notes in the docs/ folder and perform a local semantic search for "project roadmap".

Frequently Asked Questions about qmd

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

FAQPage Schema

How do I perform semantic search over local markdown files?▼

You can perform semantic search on local markdown documents by using a CLI to index files, generate embeddings, and query the resulting local vector store for context-aware retrieval.

What is the best way to index a personal knowledge base for fast retrieval?▼

The best way to index a personal knowledge base for fast retrieval is generating vector representations of markdown documents, allowing quick similarity searches across your local notes.

Do I need the qmd CLI installed to run local semantic search on my notes?▼

Yes, you need the qmd CLI installed in your environment along with access to your markdown files to index, update embeddings, and execute semantic searches locally.

Can I search my project documentation using context-aware queries?▼

Yes, you can search project documentation using context-aware queries by indexing the markdown files into a vector store and running semantic searches against the generated embeddings.

Does local indexing of markdown notes require external services?▼

No, local indexing of markdown notes does not require external services. Embeddings and vector representations are created locally to enable fast retrieval and exploration on your machine.