by simbajigege · Agent Tool · ★ 90
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📚 book2skills Transform the wisdom of classic books into AI Agent Skills. book2skills is an open-source project focused on systematically distilling high-quality practical books into Agent Skills format, enabling AI agents like Claude and Claude Code to directly apply the methodologies from these books to solve real-world problems. 🎯 Philosophy The value of a great book shouldn't exist only in human memory. By distilling a book's core frameworks, decision processes, and evaluation criteria into structured Skills, anyone can let AI agents directly apply time-tested wisdom. Our principles: 📖 Faithful to the source — Every Skill is based on reading the complete original book, not secondhand summaries 🧩 Actionable — Not just knowledge transfer, but transformation into executable judgment frameworks for agents 🔍 Verifiable — Every criterion and rule is annotated with its source chapter for traceability 🌐 Open standard — Follows specifications, compatible with Claude, Claude Code, Cursor, VS Code, and more 📦 Skills List 🚀 Quick Start Using with Claude.ai Go to any Skill folder and download the corresponding
| Stars | 90 |
| Forks | 20 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59.8101978999013/100 |
| Last Updated | 2026-06-30 |
| Created | 2026-03-24 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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book2skills is Create best skills based on best books. It is categorized as a Agent Tool with 90 GitHub stars.
book2skills is primarily written in Python. It covers topics such as agent-skills, agentskills, anthropic.
You can find installation instructions and usage details in the book2skills GitHub repository at github.com/simbajigege/book2skills. The project has 90 stars and 20 forks, indicating an active community.
book2skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to book2skills on Agent Skills Hub include awesome-claude-skills, pm-skills, zypher-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.