ComeOnOliver

🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.

10
3
100% credibility
Found Mar 20, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

SkillsHub is a searchable registry and API for discovering and fetching reusable instruction sets (skills) that AI agents can use to perform specific tasks.

How It Works

1
🌐 Discover SkillsHub

You visit skillshub.wtf, a friendly hub full of ready-made instructions for teaching AI helpers new tricks.

2
🔍 Describe what you need

Type a simple sentence like 'help my AI process PDFs' to search thousands of skills from trusted sources.

3
🎯 Instant perfect match

It shows the best skill right away with a confidence score, so you know it's spot-on without guessing.

4
📖 View the skill guide

Click to see the full page with details, tags, popularity, and easy fetch button for the instructions.

5
📥 Grab the instructions

One click downloads the simple guide your AI can read and follow to learn the new ability.

AI supercharged!

Your helper now handles the task effortlessly, saving hours of trial and error.

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Star Growth

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AI-Generated Review

What is skillshub?

SkillsHub aggregates 5,000+ AI agent skills from 500+ GitHub repos into a searchable registry, delivering the right skill set via one API call. Describe a task like "set up Playwright E2E tests" to /api/v1/skills/resolve, and it returns the best match with confidence score and fetch URL—no browsing needed. TypeScript with Next.js powers the web UI and agent-first API; fetch raw markdown instructions via /{owner}/{repo}/{skill}?format=md, all without auth for reads.

Why is it gaining traction?

It slashes token burn 250x by skipping GitHub searches, letting agents grab right skills now in ~200 tokens instead of 50k. Smart BM25 search, trending lists, and task-based resolution stand out over manual repo digging or scattered skill lists. GitHub import tools make adding repos trivial, fueling quick growth in the right skills model for agent builders.

Who should use this?

AI agent devs needing right skills reviews for tasks like code review, PDF extraction, or DevOps automation. Teams building production agents that dynamically resolve tools without hardcoding. Frontend/backend engineers seeking github right click menu extensions via skills, or anyone evaluating right skills strategy beyond static repos.

Verdict

Early with 10 stars and 1.0% credibility score, but excellent docs, Docker local setup, and MIT license make it low-risk to try. Solid for agent prototypes; star it if dynamic skill access fits your stack—maturity will follow adoption.

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