What problem does it solve? Long tasks with many tool calls cause AI agents to lose track of goals, repeat failed actions, and forget discoveries when context resets. This Skill stores plans, findings, and progress in persistent markdown files so work survives context loss and session breaks. ## Core Features & Use Cases - File-Based Planning: Creates task_plan.md, findings.md, and progress.md in your project directory to track phases, decisions, and errors. - Session Recovery: Detects unsynced context from previous sessions via a catchup script and restores state after /clear or restarts. - Hook-Driven Reminders: Uses UserPromptSubmit, PreToolUse, PostToolUse, and Stop hooks to re-inject the plan into context and prompt progress updates. - Use Case: When asked to research a topic and build a report across 50+ tool calls, the Skill maintains a phase checklist, logs every error, and resumes cleanly after interruptions. ## Quick Start Ask the AI to plan out and break down your multi-step project using file-based planning before starting any work.