openclaw

openclaw / agent-skills

Public

Useful skills for agents and claws.

35
0
85% credibility
Found May 23, 2026 at 40 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

OpenClaw Agent Skills is a free library of reusable workflows that teach AI coding assistants how to perform common tasks—like structured code reviews and remote testing—consistently across all your projects. Instead of copying the same instructions into every project, you install these shared skills once and your AI assistant knows how to help you the same way every time.

How It Works

1
💡 You want smarter code reviews

You're working on a coding project and wish your AI assistant could review code the same way every time.

2
🔍 You find OpenClaw Agent Skills

You discover this shared library of ready-made workflows that your AI assistant can learn from.

3
📦 You install the skills you need

With one simple command, you add code review and validation workflows to your AI assistant's toolkit.

4
You choose how to connect them
🔗
Link them (recommended)

Your AI assistant sees changes instantly—great for active development

📋
Copy them

Lock in a specific version—useful for teams that want stability

5
🤖 Your AI assistant learns the workflow

Now when you ask for a code review, your assistant follows a consistent, thorough process automatically.

✨ Every project gets great reviews

You share the same skills across all your repos, so every codebase benefits from consistent, high-quality reviews.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 40 to 35 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is agent-skills?

OpenClaw Agent Skills is a shared library of reusable workflows for AI coding assistants like Anthropic's Claude Code and OpenAI's Codex. Instead of copying the same long skill files into every repository, you install these once and symlink them wherever needed. Currently it ships with two skills: autoreview handles structured code review closeout, while crabbox provides remote validation for testing in CI-parity environments. The whole thing is Python-based and MIT licensed.

Why is it gaining traction?

The pain point is real: teams using coding agents end up with slightly different versions of the same workflows scattered across dozens of repos. This solves that by being the canonical source. Changes propagate instantly via symlinks during development, or you can copy snapshots for zero-setup repositories. The install script is dead simple, supporting selective installation, custom targets, and copy mode for locked-down environments. It's a clean answer to "how do we keep our agent workflows consistent?"

Who should use this?

Engineering teams running Claude Code or Codex in production who want standardized review and validation workflows. If you've got multiple developers using agents and notice everyone's skill files getting out of sync, this is for you. It's especially useful for flagship repos that accept external contributions, since you can vendor a snapshot that works without requiring contributors to install shared skills first.

Verdict

With just 35 stars, this is early-stage and the credibility score of 0.85% reflects that maturity gap. The concept is solid and the implementation is thoughtful, but it's not yet battle-tested across large organizations. Worth bookmarking and watching if you're deep into AI-assisted development workflows. For production use today, evaluate whether the maintenance burden of your current approach justifies the switch.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.