superpowers
An agentic skills framework & software development methodology that works.
agent-rules-booksは、ciemborが公開しているオープンソースのAIエージェントプロジェクトです(GitHub: ciembor/agent-rules-books)。GitHubスターは2,902、フォークは510で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年9月10日です。
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.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — agent-rules-booksが合わなかった場合に検討したい、現実的な候補リストです。
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
カタログの中でagent-rules-booksとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Self-hosted AI pentesting agent that finds flaws and opens PRs to fix them.
Autonomous AI trading agent spanning 1000+ markets, from Polymarket to Solana DEXs.
Living architecture documentation that both your team and AI agents can read.
Secure persistent personal agent server in one Rust binary — sandboxed, multi-provider, on your hardware
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.