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qmd

Local hybrid search for markdown notes and docs. Use when searching notes, finding related content, or retrieving documents from indexed collections.

emcmillan800 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install emcmillan80/qmd-markdown-search

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

qmd - Quick Markdown Search

Local search engine for Markdown notes, docs, and knowledge bases. Index once, search fast.

When to use (trigger phrases)

  • "search my notes / docs / knowledge base"
  • "find related notes"
  • "retrieve a markdown document from my collection"
  • "search local markdown files"

Default behavior (important)

  • Prefer qmd search (BM25). It's typically instant and should be the default.
  • Use qmd vsearch only when keyword search fails and you need semantic similarity (can be very slow on a cold start).
  • Avoid qmd query unless the user explicitly wants the highest quality hybrid results and can tolerate long runtimes/timeouts.

Prerequisites

  • Bun >= 1.0.0
  • macOS: brew install sqlite (SQLite extensions)
  • Ensure PATH includes: $HOME/.bun/bin

Install Bun (macOS): brew install oven-sh/bun/bun

Install

bun install -g https://github.com/tobi/qmd

Setup

qmd collection add /path/to/notes --name notes --mask "**/*.md"
qmd context add qmd://notes "Description of this collection"  # optional
qmd embed  # one-time to enable vector + hybrid search

What it indexes

  • Intended for Markdown collections (commonly **/*.md).
  • In our testing, "messy" Markdown is fine: chunking is content-based (roughly a few hundred tokens per chunk), not strict heading/structure based.
  • Not a replacement for code search; use code search tools for repositories/source trees.

Search modes

  • qmd search (default): fast keyword match (BM25)
  • qmd vsearch (last resort): semantic similarity (vector). Often slow due to local LLM work before the vector lookup.
  • qmd query (generally skip): hybrid search + LLM reranking. Often slower than vsearch and may timeout.

Performance notes

  • qmd search is typically instant.
  • qmd vsearch can be ~1 minute on some machines because query expansion may load a local model (e.g., Qwen3-1.7B) into memory per run; the vector lookup itself is usually fast.
  • qmd query adds LLM...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/emcmillan80/qmd-markdown-search
Version
—
Commit
7ef4b99edb31024d7336b479cf99d7ce79aeb47e
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

QMD Skill

This repository contains a Codex/Clawd skill definition for qmd (Quick Markdown Search).

Usage

Import or install this skill in your Codex/Clawd environment by pointing to this repo and reading SKILL.md.

Contenu extrait

SKILL.md
# qmd - Quick Markdown Search

Local search engine for Markdown notes, docs, and knowledge bases. Index once, search fast.

## When to use (trigger phrases)

- "search my notes / docs / knowledge base"
- "find related notes"
- "retrieve a markdown document from my collection"
- "search local markdown files"

## Default behavior (important)

- Prefer `qmd search` (BM25). It's typically instant and should be the default.
- Use `qmd vsearch` only when keyword search fails and you need semantic similarity (can be very slow on a cold start).
- Avoid `qmd query` unless the user explicitly wants the highest quality hybrid results and can tolerate long runtimes/timeouts.

## Prerequisites

- Bun >= 1.0.0
- macOS: `brew install sqlite` (SQLite extensions)
- Ensure PATH includes: `$HOME/.bun/bin`

Install Bun (macOS): `brew install oven-sh/bun/bun`

## Install

`bun install -g https://github.com/tobi/qmd`

## Setup

```bash
qmd collection add /path/to/notes --name notes --mask "**/*.md"
qmd context add qmd://notes "Description of this collection"  # optional
qmd embed  # one-time to enable vector + hybrid search
```

## What it indexes

- Intended for Markdown collections (commonly `**/*.md`).
- In our testing, "messy" Markdown is fine: chunking is content-based (roughly a few hundred tokens per chunk), not strict heading/structure based.
- Not a replacement for code search; use code search tools for repositories/source trees.

## Search modes

- `qmd search` (default): fast keyword match (BM25)
- `qmd vsearch` (last resort): semantic similarity (vector). Often slow due to local LLM work before the vector lookup.
- `qmd query` (generally skip): hybrid search + LLM reranking. Often slower than `vsearch` and may timeout.

## Performance notes

- `qmd search` is typically instant.
- `qmd vsearch` can be ~1 minute on some machines because query expansion may load a local model (e.g., Qwen3-1.7B) into memory per run; the vector lookup itself is usually fast.
- `qmd query` adds LLM...
README
# QMD Skill

This repository contains a Codex/Clawd skill definition for **qmd** (Quick Markdown Search).

- Skill file: `SKILL.md`
- Homepage: https://github.com/tobi/qmd

## Usage
Import or install this skill in your Codex/Clawd environment by pointing to this repo and reading `SKILL.md`.

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