LittleDinoC

A smart skill search engine for agents with multi-field retrieval and quality signals.

15
0
100% credibility
Found Apr 01, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Skill Compass is a discovery tool that searches and recommends reusable skills and workflows for AI agents based on user intent.

How It Works

1
🧭 Discover Skill Compass

You stumble upon Skill Compass, a handy guide that helps find the best skills for supercharging your AI assistant.

2
🌐 Try the Online Search

Head to the web version in your browser to quickly search for skills and see smart recommendations pop up.

3
🔍 Ask for What You Need

Simply describe the skill you're after, like 'git commit helper', and get top-ranked options with quality badges.

4
📥 Add to Your AI Assistant

Easily bring it into your AI helper's world so it activates whenever you need to discover new skills.

5
💡 Receive Tailored Picks

Tell your AI to find a skill, answer a quick question if it helps narrow things down, and pick from the best matches.

🎉 Unlock Smarter Workflows

Your AI now grabs perfect skills on demand, saving you hours of hunting and making everything run smoother.

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Star Growth

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AI-Generated Review

What is skill-compass?

Skill Compass is a search engine that helps AI agents discover reusable skills and workflows across sources like GitHub, using natural language queries. Tell it you need something like "CI/CD automation" or "git commit conventions," and it delivers 1-3 ranked recommendations with quality signals such as repo stars, plus a clarification question if your intent is ambiguous. Built for agent frameworks like Claude Code and OpenClaw, it installs via simple npx commands or plugins, and there's a web demo at skills.megatechai.com—no more reinventing wheels or browsing marketplaces manually.

Why is it gaining traction?

It stands out with multi-field retrieval over skill names, descriptions, and contexts, blending relevance scores with GitHub stars for smarter picks, unlike basic keyword searches. The clarification loop and feedback telemetry make results refine over time, hooking developers tired of vague agent tool discovery. Ties into research on multi-field tool retrieval, with examples shining on GitHub smart commits or testing workflows.

Who should use this?

AI agent builders in Claude Code or OpenClaw who waste time hunting skills for tasks like end-to-end testing or conventional commits. Teams scaling skill compass AI for agents, avoiding "compass skill is dead" pitfalls by quickly validating options with quality signals. Developers integrating skilled and smart tools without starting from scratch.

Verdict

Worth a quick npx install for agent workflows—solid docs and web demo make it easy to test, despite 15 stars and 1.0% credibility score signaling early maturity. Try it if skill discovery blocks you; feedback could accelerate its growth.

(178 words)

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