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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.

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安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 qmd 技能。 若已安装,则直接安装 qmd 技能。

Overview

Skill Key
emcmillan80/qmd-markdown-search
Author
emcmillan80
Source Repo
openclaw/skills
Version
-
Source Path
skills/emcmillan80/qmd-markdown-search
Latest Commit SHA
7ef4b99edb31024d7336b479cf99d7ce79aeb47e

Extracted Content

SKILL.md excerpt

# 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 excerpt

# 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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