planning-with-files

Maintain persistent task plans for AI coding agents by storing task plans, findings, and progress in markdown files. This ensures your work survives context loss and /clear commands, allowing continuous work sessions across complex projects.

Recover AI agent session context after a clear command by reading previously saved markdown planning files. The Skill automatically recovers session context by referencing the task_plan.md, findings.md, and progress.md files to refresh goals and restore state.

Track progress for multi-step coding projects using markdown files by updating progress.md and findings.md after each phase. This file-based planning approach documents findings and monitors task completion for any complex work requiring multiple tool calls.

Yes, you need scripting capabilities and markdown files to use markdown-based planning for AI coding agents. Scripting is required to automate session recovery, apply task plans, and execute progress updates for complex project workflows.

Use file-based planning instead of relying on AI agent context windows when organizing complex projects, research tasks, or any work requiring multiple tool calls. It prevents work loss during context limits and supports long-term multi-step project execution.

Yes, planning-with-files works for managing research tasks and documenting findings. It creates structured task plans, stores research findings, and tracks progress in markdown files, making it ideal for planning and executing multi-step research projects.