OthmanAdi / planning-with-files
Crash-proof file-based planning that lets AI coding agents survive context loss and complete long-running tasks deterministically across 60+ agent platforms.
星标趋势
AI 分析
项目摘要
planning-with-files is a persistent file-based planning skill for AI coding agents that keeps task plans, findings, and progress on disk, enabling agents to survive context loss, /clear commands, and crashes. It features an opt-in completion gate that holds agents until plans are actually completed, and works across 60+ AI coding agents via the SKILL.md standard.
为什么值得关注
With 24.5K stars and rapid adoption, this project solves a critical pain point in AI agent workflows — context loss during long-running tasks. Its cross-agent compatibility via SKILL.md, deterministic completion gate, and Manus-inspired approach make it a practical, battle-tested solution for production agentic coding workflows.
优势
- Cross-agent compatibility with 60+ AI coding agents via SKILL.md standard
- Crash-proof persistent state that survives context loss and /clear commands
- Opt-in completion gate for deterministic task completion verification
- Strong validation with 96.7% benchmark pass rate, A/B blind testing, and security audit
- Very active development with 72 releases in 6 months and 46 contributors
局限性
- File-based approach may have scalability limits for highly complex distributed multi-agent scenarios
- Dependent on SKILL.md standard adoption across agent ecosystems
- Primarily focused on coding tasks, may require adaptation for non-coding agent workflows
使用场景
- Long-running autonomous coding sessions that must survive context window limits
- Multi-agent coordination with shared persistent state on disk
- Crash-proof agent workflows that resume after interruptions
- Deterministic task completion verification with the completion gate pattern