Planning With Files — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Planning With Files. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Jun 16, 2026 • Sentiment updated: Unknown

GitHub Statistics

• GitHub Stars: 23,631
• Forks: 2,065
• Open Issues: 6
• Primary Language: Python
• License: MIT

Why Planning With Files Stands Out

The planning-with-files skill is valuable because it provides a persistent file-based planning system for AI coding agents, allowing them to survive context loss and crashes, and ensuring that plans are completed efficiently.

Built With

Python, Markdown, SKILL.md standard

Getting Started

1. Install the planning-with-files skill
2. Configure the skill for your AI agent
3. Use the skill to create and manage plans

About

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-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.

Category & Tags

Category: multi-agent

Tags: agent-skills, agentic-ai, ai-agents, autonomous-agents, claude, claude-code, claude-skills, codex, coding-agent, context-engineering, copilot, cursor, developer-tools, github-copilot, llm-agents, long-running-agents, manus, multi-agent-systems, pi, planning