What problem does it solve? Turning a written implementation plan into working code requires tracking which tasks are done, resuming after interruptions, and keeping plan checkboxes in sync with actual progress. This Skill automates that execution loop so plans are carried out sequentially without losing state across sessions. ## Core Features & Use Cases - Plan-driven task execution: Discovers the active plan file (branch-based, explicit @path, fast plan, or fix plan), loads project context and rules, then works through tasks sequentially while updating checkboxes and task statuses. - Session persistence and recovery: Rebuilds context from git state and plan files after a break or /clear, reconciles task statuses with actual code, and resumes from the next pending task. - Inline implementation mode: Runs small one-shot tasks via --without-plan without creating plan artifacts, with scope guards and documentation policy flags. - Use Case: After creating a feature plan with /aif-plan, run /aif-implement to execute all tasks, commit at checkpoints, sync progress to a Handoff task, and finish with roadmap milestone updates. ## Quick Start Ask the AI to run /aif-implement to execute the current plan's tasks and track progress automatically.
