superpowers
An agentic skills framework & software development methodology that works.
agent-rules-books es un proyecto de agentes de IA de código abierto de ciembor (ciembor/agent-rules-books en GitHub). Tiene 2.902 estrellas en GitHub y 510 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 10 de septiembre de 2026.
Battle-tested coding rules for AI agents, distilled from classic programming books.
Choose the book-inspired rule sets you want.
Drop the AGENTS.md files into your project.
Your coding agent reads the rules automatically.
Tweak conventions to match your team.
Wisdom from five classic programming texts.
Codex, Cursor, Claude Code, and more.
The standard agents already understand.
Reusable skills alongside the rules.
Copy files, no installation needed.
Version conventions in git.
Download the source and move into the project folder.
git clone https://github.com/ciembor/agent-rules-books.git
cd agent-rules-booksEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source collection at ciembor/agent-rules-books with 510 forks.
Yes. MIT licensed.
Documentation: rule files and skills your agents read.
Codex, Cursor, Claude Code, and most modern coding agents.
Yes. They are plain text files meant to be adapted.
An agentic skills framework & software development methodology that works.
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Q…
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Mobile app automation and verification built for AI coding agents — CLI, MCP server, and Node API
Write coding-agent rules once, then apply them to every AI coding tool you use.
Sync your AI coding setup: skills, agents, rules, MCP, hooks, everywhere.
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Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a agent-rules-books: sigue explorando a ambos lados.
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Living architecture documentation that both your team and AI agents can read.
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Fork() for AI agent microVMs — spawn 100 KVM-isolated children in ~100ms from a warm parent
Chinese-language course on AI basics: GPU architecture, CUDA, LLMs, and agents.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.