What problem does it solve?
This Skill eliminates the risk of losing implementation progress when AI coding sessions are interrupted, cleared, or abandoned. It provides a robust workflow to execute task plans sequentially while maintaining persistent state that survives across sessions.
Core Features & Use Cases
- Sequential Task Execution: Processes implementation tasks one at a time from a markdown plan, automatically marking progress and handling dependencies.
- Session Recovery: Rebuilds context from git history and plan files after breaks or context clears, ensuring work can resume exactly where it left off.
- Progress Synchronization: Integrates with Handoff MCP tools to sync task status and supports commit checkpoints at defined milestones.
- Use Case: A developer implementing a feature can pause mid-session and resume days later with all progress preserved, the next task automatically identified, and no manual state reconstruction required.
Quick Start
Use the aif-implement skill to execute your current implementation plan and continue from the last incomplete task.
