samber

samber / cc-skills

Public

🧑‍🎨 A collection of agentic skills that works

agent agent-skills ai antigravity claude
14
0
100% credibility
Found Mar 24, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A GitHub repository providing reusable 'skills'—compact instruction sets—to enhance AI coding agents with specialized expertise in engineering practices and marketing tasks like LinkedIn writing.

How It Works

1
🔍 Discover AI Boosters

You find a collection of clever tips and guides that supercharge your AI coding helper with expert knowledge in coding tricks and marketing smarts.

2
đź“– Browse the Skills

You check out the handy skills like smart version control habits, powerful query tools, and crafting engaging social posts.

3
Add to Your AI Tool
🚀
Quick Universal Add

Tap the one-click method that works with any compatible AI buddy.

đź“‚
Folder Copy for Specific Tools

Simply place the skills folder where your AI tool looks for extras.

4
âś… Skills Activate

Everything sets up smoothly, and your AI now has these expert boosts ready to go.

5
đź’¬ Magic in Conversations

While chatting with your AI, it smartly grabs the right skill, delivering precise, pro-level advice just when you need it.

🎉 Smarter AI Wins

Your assistant levels up dramatically, making your work faster, better, and way less frustrating.

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Star Growth

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AI-Generated Review

What is cc-skills?

cc-skills is a GitHub collection of agentic skills—reusable instruction sets that supercharge AI coding assistants like Claude with marketing and engineering expertise, loaded on demand to avoid context bloat. Developers install it via simple CLI commands like `npx skills add https://github.com/samber/cc-skills`, making it plug into tools such as Cursor, Copilot, Gemini CLI, or Openclaw without hassle. Built around efficient Markdown prompts with token-optimized designs, it delivers skills like conventional Git commit conventions or PromQL querying right when needed.

Why is it gaining traction?

It stands out with cross-tool compatibility—no lock-in to one AI platform—and real-world evals showing up to 39% error reduction per skill, plus 35 percentage points overall accuracy boost. The universal install via skills.sh CLI or git clone hooks devs instantly, while human-reviewed prompts avoid AI slop, unlike generic prompt collections on GitHub. Token efficiency keeps sessions lean, letting 2-4 skills coexist without degrading responses.

Who should use this?

AI-powered devs crafting LinkedIn posts, debugging Prometheus queries with PromQL, or enforcing Git conventions will get immediate wins. Ops engineers tired of inconsistent CLI outputs, marketers ghostwriting profiles, or teams standardizing agentic workflows in Cursor/Copilot setups should grab it. Ideal for those blending cc skills meaning into daily coding without switching tools.

Verdict

Promising early experiment in agentic skills, backed by solid evals but held back by 14 stars and 1.0% credibility score—docs are clear, but maturity lags with minimal adoption. Try a single skill via CLI if you're in Claude ecosystems; otherwise, watch for more contributions before full commitment.

(178 words)

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