planning-with-files — Claude Skill by OthmanAdi

by OthmanAdi · Claude Skill · ★ 25.9k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About planning-with-files

Planning with Files Work like Manus — the AI agent company Meta acquired for $2 billion. 💬 A Note from the Author To everyone who starred, forked, and shared this skill — thank you. This project blew up in less than 24 hours, and the support from the community has been incredible. If this skill helps you work smarter, that's all I wanted. 🌍 See What the Community Built [@kmi

agent-skillsautonomous-agentsclaudeclaude-codeclaude-code-skillsclaude-skillscodexcoding-agentcontext-engineeringcontext-rot

Quick Facts

Stars25,944
Forks2,174
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score63.3646054754338/100
Open Issues6
Last Updated2026-08-03
Created2026-01-03
Platformsclaude-code, cli, codex
Est. Tokens~14k

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Frequently Asked Questions

What is planning-with-files?

planning-with-files is Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, determi. It is categorized as a Claude Skill with 25.9k GitHub stars.

What programming language is planning-with-files written in?

planning-with-files is primarily written in Shell. It covers topics such as agent-skills, autonomous-agents, claude.

How do I install or use planning-with-files?

You can find installation instructions and usage details in the planning-with-files GitHub repository at github.com/OthmanAdi/planning-with-files. The project has 25.9k stars and 2174 forks, indicating an active community.

What license does planning-with-files use?

planning-with-files is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to planning-with-files?

The top alternatives to planning-with-files on Agent Skills Hub include awesome-claude-skills, ruflo, claude-code-best-practice. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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