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Awesome Agent Skills

A collection of installable skills for AI coding agents covering code review, testing, design docs, debugging, security audits, refactoring and cleaning up AI-written text, distilled from public collections and real project practice.

Awesome Agent Skills

Each skill in this repository is a folder containing a SKILL.md file in the Agent Skills format, installed by copying it into an agent's skills directory. Skills cover code review, code quality and refactoring, testing, design and planning, debugging and reliability, audits, git and repository operations, agent maintenance, and writing and text cleanup, including content marketing.

A bundled CLI installs every skill into detected agents in one command, supporting Claude Code, Claude.ai, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, opencode, Amp, Windsurf, Antigravity and other agents that support the Agent Skills standard. Installs can be symlinked back to the cloned repository, so a git pull updates every linked skill, or copied independently.

The skills are distilled from widely used public collections and the documented practice of large open-source projects, then refined over repeated use on real repositories.

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    A deterministic authorization gateway that sits between an AI agent and its tools, tracing where each parameter of a side-effect call came from, and blocking the call or asking a human when the source does not check out.

  • A markdown framework of system rules that restates Isaac Asimov's Four Laws of Robotics as a set of prioritized loss calculations for large-language-model agents to follow, published as a discovery file for agents and crawlers to read.

  • Vitruvius

    github.com

    An engineering research agent that runs a discover, read, synthesize, verify and review loop over technical questions, reading sources directly rather than inferring from titles, and publishing its own scored verifier benchmark, weaknesses included.