planning-with-files — Claude Skill by OthmanAdi

by OthmanAdi · Claude Skill · ★ 23.4k

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

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-skillsagentic-aiai-agentsautonomous-agentsclaudeclaude-codeclaude-skillscodexcoding-agentcontext-engineering

Quick Facts

Stars23,431
Forks2,056
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score47.758/100
Open Issues6
Last Updated2026-06-16
Created2026-01-03
Platformsclaude-code, cli, codex, python
Est. Tokens~17k

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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 agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agen. It is categorized as a Claude Skill with 23.4k GitHub stars.

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

planning-with-files is primarily written in Python. It covers topics such as agent-skills, agentic-ai, ai-agents.

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 23.4k stars and 2056 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, agents, ruflo. 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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