planning-with-files-ar

What problem does it solve?

This Skill solves the critical issue of losing context, progress, and key decisions during long, multi-step complex tasks when working with AI assistants, which have limited context windows and often require session resets or interruptions that erase critical work state.

Core Features & Use Cases

• Persistent External Working Memory: Uses three dedicated markdown files (task_plan.md, findings.md, progress.md) stored in your project directory to act as unlimited, persistent memory that survives context resets and session interruptions.
• Automatic Session Recovery: Includes a cross-platform session catchup script that automatically restores context from previous sessions after a /clear command, including unsynced work and recent code changes.
• Structured Guided Workflow: Enforces a standardized 5-stage task process (requirements, planning, execution, testing, delivery) with built-in error logging, triple failure protocol, and progress tracking rules to reduce errors and rework.
• Use Cases: Ideal for product analysis, requirement review, technical selection, complex bug diagnosis, end-to-end development workflows, and any task spanning multiple tool calls or work sessions.

Quick Start

Ask your AI assistant to use the planning-with-files-ar skill to organize your complex multi-step project, create the required tracking files, and monitor progress across work sessions.