qmd

Index text-based files locally for hybrid keyword and semantic search.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/founderphantom/zola-agent --skill qmd-founderphantom
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qmd
Source: https://github.com/founderphantom/zola-agent/tree/main/optional-skills/research/qmd
Command: npx skills add https://github.com/founderphantom/zola-agent --skill qmd-founderphantom

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Local, on-device search indexes markdown notes, transcripts, documentation, and any text-based files to deliver fast, private access across collections using a hybrid of keyword matching, semantic understanding, and LLM reranking.

Core Features & Use Cases

  • Local indexing of notes, transcripts, and docs for private search
  • Hybrid retrieval with BM25-style keywords, semantic vectors, and LLM reranking
  • Use Case: researchers and knowledge workers can quickly locate relevant material across personal knowledge bases without cloud dependencies

Quick Start

Search your notes locally across collections to retrieve relevant documents.

Frequently Asked Questions about qmd

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

FAQPage Schema
How do I search markdown notes and transcripts locally without cloud dependencies?

Hybrid search combines BM25-style keyword matching, semantic vectors, and LLM reranking to retrieve text-based files. This mechanism indexes markdown notes and transcripts locally, delivering both exact and semantic results for fast, private knowledge retrieval.

Can I use local search for markdown notes with MCP integration in agent workflows?

Local search for markdown notes supports MCP integration to plug into Hermes Agent workflows. You can connect your indexed knowledge base directly into agent processes, enabling automated retrieval of documentation and research notes.

What is the best way to find information across a large collection of project docs?

Local hybrid search is the best way to find information across large collections of project docs. By indexing documentation locally, users retrieve relevant material using both exact keyword matching and semantic understanding without uploading files to the cloud.

Does local knowledge base search work offline for meeting transcripts?

Local knowledge base search works offline for meeting transcripts by applying local embeddings on-device. Users can index and retrieve transcript content privately without an internet connection, ensuring data stays within the local environment.

When should I not use cloud-based search for my research notes?

You should avoid cloud-based search for research notes when data privacy or offline access is critical. Local on-device search indexes text-based files privately using local embeddings, ensuring sensitive research material remains completely on-device without external server exposure.