PsiACE

PsiACE / skills

Public

A small, shared skill library by builders, for builders.

153
6
100% credibility
Found Feb 03, 2026 at 30 stars 5x -- 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

A personal collection of practical coding guidelines and best practices for Python and Rust, shared as skills for AI assistants.

How It Works

1
🔍 Discover the skills library

You hear about a helpful collection of coding tips shared by builders and visit their page.

2
📖 Explore the guides

You browse the friendly online website to see tips for writing better Python and Rust code.

3
Add skills to your helper

You easily bring these expert tips into your AI coding assistant so it can guide you better.

4
Pick your focus
🐍
Friendly Python

Get advice on clean, easy-to-read Python code.

🎨
Piglet Craftsman

Learn Python patterns to avoid common mistakes.

Fast Rust

Write speedy, reliable Rust programs.

5
💻 Use the tips in action

Ask your AI assistant to apply the chosen skill when helping with your code.

🎉 Code like a pro

Your programs become cleaner, faster, and easier to maintain, making coding more enjoyable.

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AI-Generated Review

What is skills?

PsiACE/skills is a compact library of AI agent skills for coding best practices in Python and Rust. Developers install it via a simple CLI command like `pnpx skills add PsiACE/skills --skill='*'`, plugging predefined prompts into tools like GitHub Copilot, Claude, or Anthropic agents to guide writing, refactoring, and reviewing code. It delivers focused skillsets—friendly Pythonic code, craftsmanship patterns, and fast Rust—solving the problem of generic AI outputs lacking practical engineering depth, with online docs hosted on GitHub Pages.

Why is it gaining traction?

This github small repo stands out in the crowded space of github skills ai and n8n skills github by staying deliberately tiny, curated by a github small team of builders sharing real-world practices, unlike sprawling alternatives like skillshare or skills lab collections. The hook is instant value: drop-in YAML configs for OpenAI-compatible agents that recommend precise patterns, boosting code quality without setup hassle. Even niche searches like alexa skills github or skills deutsch find echoes in its targeted, no-fluff approach.

Who should use this?

Python devs refactoring legacy code or building CLIs will love the friendly-python and piglet skills for readability and pitfalls avoidance. Rust engineers optimizing for speed and safety get fast-rust guidance on errors and types. AI-assisted teams using github copilot, skills github anthropic, or similar—especially in small teams evaluating skillset upgrades for skillsforwork—should trial it for consistent reviews.

Verdict

Worth adding to your agent toolkit if you code in Python or Rust with AI help—128 stars and solid MkDocs docs show promise despite the 1.0% credibility score signaling early maturity. It's raw but constructive for skillspark in daily workflows; watch for updates as the small collection evolves.

(198 words)

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