ai-factory.implement

Automate task implementation by loading project context, executing tasks sequentially, and updating progress with commit checkpoints. This Skill handles end-to-end execution from your plan, marking states and persisting progress across sessions.

Track task progress across sessions by restoring previous context and resuming from the next pending task. The mechanism persists state by marking tasks as in_progress or completed and updating plan checkboxes automatically.

Execute plan-driven software features sequentially by loading the current plan and running tasks one at a time in order. The workflow preserves context between tasks and handles optional documentation updates as each task completes.

Resume implementation from a pending task by running the implementation command to reload your session. The system restores your previous progress, refreshes plan context, and continues deterministic task execution from the exact point you left off.

Automated task execution updates plan checkboxes and handles commit readiness as tasks complete. It mutates explicit in_progress and completed states, refreshes context, and prepares commit checkpoints to ensure deterministic task tracking.