Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install qmd-local-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install qmd-local-search⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/qmd-local-search/💡Extract and place the folder at the path above, then restart your agent.
Category
📝Documents & NotesWhat qmd Local Search can do for your AI workflow
Fast local search for markdown directly from your Claude conversation
Works across Claude, Cursor, OpenClaw — install once, use everywhere
Trusted by 2,634+ developers worldwide
One-command installation — no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing qmd Local Search
Help me get started with qmd Local Search
Explains what qmd Local Search does, walks through the setup, and runs a quick demo based on your current project
Use qmd Local Search to fast local search for markdown files, notes, and docs using qmd CLI
Invokes qmd Local Search with the right parameters and returns the result directly in the conversation
What can I do with qmd Local Search in my documents & notes workflow?
Lists the top use cases for qmd Local Search, with example commands for each scenario
Guides & tutorials for AI skills
10 Fresh GitHub Agent Skills Added in June 2026
A hand-checked shortlist of recently updated GitHub agent skills that were not already in our catalog, excluding marketplaces, awesome lists, managers, and generic skill directories.
The 7 AI Skills Every Software Developer Should Have Installed in 2026
After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows — not just impressive demos, but tools that hold up under daily use.
qmd Local Search extends your AI assistant with the ability to fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using qmd Local Search as its underlying capability.
qmd Local Search works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install qmd Local Search once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with qmd Local Search takes about two minutes. Place the skill at `~/.claude/skills/qmd-local-search/` (personal, all projects) or `.claude/skills/qmd-local-search/` (project-specific), then restart your AI client. From that point, typing `/qmd-local-search` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
qmd Local Search has been installed 2,634 times, making it one of the more actively used skills in the Documents & Notes category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/qmd-local-search/ for personal use (all projects), or .claude/skills/qmd-local-search/ for project-specific use. Restart your AI client, then invoke with /qmd-local-search or let the AI discover it automatically.
qmd Local Search supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
qmd Local Search is free to install. Check the repository for licensing information.
Fast local search for markdown files, notes, and docs using qmd CLI. Use instead of `find` for file discovery. Combines BM25 full-text search, vector semantic search, and LLM reranking—all running locally. Use when searching for files, finding code, locating documentation, or discovering content in indexed collections.
Platforms
Links
Automate my documents & notes tasks using qmd Local Search
Identifies repetitive steps in your workflow and sets up qmd Local Search to handle them automatically
qmd Local Search is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.
Search X
Real-time X/Twitter search powered by Grok-4. Find tweets, trends, and discussions with citations. Grok-4.20 also returns image results alongside tweet citat...