roxblnfk

roxblnfk / skills

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Distribute AI Skills as Composer dependencies

ai ai-skills claude-code composer composer-plugin
13
1
89% credibility
Found May 17, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
PHP
AI Summary

llm/skills is a Composer plugin that helps teams distribute AI coding instructions as package dependencies. Package maintainers can ship instruction bundles (called Skills) containing markdown files with conventions, recipes, and best practices. Developers install the plugin and sync these bundles into their projects where AI coding assistants can read them. The plugin includes safety features like a trust system (only copying from explicitly allowed packages), conflict detection (preventing duplicate skill names), and non-destructive merging (preserving user files). It supports multiple AI tools by creating mirrored directories and can run automatically or on-demand.

How It Works

1
💡 You want your AI coding assistant to follow team conventions

You've started using AI coding tools and realize your team needs consistent instructions for things like code style, documentation, and workflows.

2
📦 You install the skills plugin into your project

With one command, you add the plugin to your development tools. It quietly watches your project without getting in your way.

3
🔐 You choose which skill packages to trust

For safety, the plugin only copies instructions from packages you explicitly allow. You add your team's internal skills and any trusted external sources to your project settings.

4
✨ You run the sync command and your skills appear

With a single command, all the instruction bundles from your trusted packages are gathered into one place. Your AI assistant can now read them.

5
You can set up automatic syncing or do it manually
🤖
Auto-sync mode

Skills update automatically in the background whenever you install or update packages

🎯
Manual sync

You run the sync command whenever you want to refresh your skills

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🔍 You can check what skills you have and their status

A built-in command shows you every skill you have, which ones are up to date, and which packages they came from.

🎉 Your AI assistant reads your team's instructions

Your coding assistant automatically learns your team's conventions, code style, and best practices. Everyone gets consistent help without repetitive setup.

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AI-Generated Review

What is skills?

Skills is a Composer plugin that distributes AI instruction bundles as regular PHP dependencies. When vendor packages ship a `SKILL.md` file, this plugin copies those instructions into your project so coding agents like Claude Code or Cursor can read them. It solves the problem of sharing project conventions and recipes across teams without manual copy-pasting. The tool runs as a Composer plugin with two main commands: `composer skills:update` syncs skills from trusted vendors, while `composer skills:show` inspects what is currently installed.

Why is it gaining traction?

The plugin fills a real gap as AI coding assistants become standard in development workflows. Teams can now version-control their agent instructions alongside their code, and distribute them through the same dependency manager they already use. The trust-first design is particularly clever: by default, the plugin refuses to copy skills from untrusted sources, protecting against prompt injection from malicious packages. The non-destructive merge means your local edits survive updates, and the alias feature lets you point multiple agents at the same skill directory without duplicating files.

Who should use this?

PHP teams using Claude Code, Cursor, or similar AI coding assistants should consider this. It works best when you have shared conventions across projects that deserve their own packages, or when you want to distribute internal agent instructions through Composer. If your team has multiple developers who all need the same coding standards applied by their AI tools, this plugin makes that distribution repeatable.

Verdict

This is a well-thought-out solution to a real problem, but the credibility score of 0.8999999761581421% reflects its early stage: only 13 stars and experimental status. The documentation is solid and the feature set is complete, but adoption is minimal. Worth watching, but wait for broader community validation before betting a production workflow on it.

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