Z-Bra0

Z-Bra0 / Ski

Public

Install AI agent skills from Git into Claude, Codex, Cursor, and OpenClaw with a manifest, lockfile, and shared store

12
0
100% credibility
Found Mar 19, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Ski manages AI agent skills by installing them from Git repositories into shared locations for tools like Claude and Codex using manifests and lockfiles for reproducibility.

How It Works

1
🔍 Discover ski

You hear about ski, a simple way to share helpful skill packs for your AI helpers without copying folders everywhere.

2
📥 Get ski

Run one quick command to download and set it up on your computer.

3
⚙️ Set up your space

Tell ski which AI tools you use, like Claude or Codex, so it knows where to place the skills.

4
Grab a skill pack

Point ski to a shared collection online, pick the skills you want, and watch it add them safely.

5
🚀 Make them ready

Hit install, and the skills appear in all your chosen AI tools, ready to use.

6
🔄 Keep things fresh

Easily check for updates, list what's there, or remove what you don't need anymore.

🎉 Skills everywhere

Now your AI helpers share powerful skills across projects, always up-to-date and easy to reproduce with teammates.

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Star Growth

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AI-Generated Review

What is Ski?

Ski is a Go-based package manager for AI agent skills, pulling them from Git repos into tools like Claude, Codex, Cursor, and OpenClaw. It replaces manual folder copying—prone to version drift and duplication—with a manifest, lockfile, and shared store for reproducible installs. Run `ski init --target claude`, `ski add https://github.com/org/repo.git`, then `ski install` to link skills across agents.

Why is it gaining traction?

Unlike ad-hoc skill installs, Ski pins commits, handles multi-skill repos with `--skill` or `--all`, and offers `doctor` to spot broken links or mismatches. Global/project scopes and `update` for selective upgrades make it feel like `npm install` or `install github cli ubuntu` for agent skills—reproducible across clones or machines. Jet ski github vibes for AI workflows without the hassle.

Who should use this?

AI engineers juggling skills in Claude/Cursor projects, teams installing agent dvr, agent os, agent wazuh, agent zero, or agent-browser across devs. Perfect for reproducible setups in agentcore cli or agentforce vibes, like pinning audit tools before `install github copilot cli`.

Verdict

Try it if you're on Linux/Mac experimenting with agent skills—solid CLI, tests, and docs despite 12 stars and 1.0% credibility score. No Windows yet, but watch this for maturing into a staple like install github desktop.

(178 words)

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