by ChristopherKahler · Claude Skill · ★ 1.2k
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PAUL Plan-Apply-Unify Loop — Structured AI-assisted development for Claude Code. Works on Mac, Windows, and Linux. "Quality over speed-for-speed's-sake. In-session context over subagent sprawl." Why PAUL · Getting Started · The Loop · Commands · How It Works Why PAUL I build with Claude Code every day. It's incredibly powerful — when you give it the right context. The problem? Context rot. As your session fills up, quality degrades. Subagents spawn with fresh context but return 70% quality work that needs cleanup. Plans get created but never closed. State drifts. You end up debugging AI output instead of shipping features. PAUL fixes this with three principles: Loop integrity — Every plan closes with UNIFY. No orphan plans. UNIFY reconciles what was planned vs what happened, updates state, logs decisions. This is the heartbea
| Stars | 1,160 |
| Forks | 124 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 75.0977177100779/100 |
| Open Issues | 10 |
| Last Updated | 2026-06-26 |
| Created | 2026-01-28 |
| Platforms | claude-code, node |
| Est. Tokens | ~17k |
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paul is Plan-Apply-Unify Loop — Structured AI-assisted development for Claude Code. Quality over speed-for-speed's-sake.. It is categorized as a Claude Skill with 1.2k GitHub stars.
paul is primarily written in JavaScript. It covers topics such as ai-development, ai-tools, claude.
You can find installation instructions and usage details in the paul GitHub repository at github.com/ChristopherKahler/paul. The project has 1.2k stars and 124 forks, indicating an active community.
paul is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to paul on Agent Skills Hub include crystal, awesome-ai-coding-tools, pilot-shell. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.