What problem does it solve? Turning a spec or plan into actionable work often produces tasks that are too large, horizontally layered, or blocked by hidden dependencies. This Skill converts specs, GitHub issues, or loose descriptions into thin, end-to-end vertical slices that are each demoable and implementable in a single session. ## Core Features & Use Cases - Vertical Slice Decomposition: Every task is a tracer bullet cutting through all layers (schema, API, logic, UI, tests), starting with a walking skeleton as Task 1. - Structured Task Metadata: Each task includes a title, HITL/AFK classification, spec requirement coverage, and dependency ordering. - Iterative Refinement: Presents a lightweight numbered draft for user feedback on granularity, dependencies, and classifications before fleshing out acceptance criteria. - Use Case: After drafting a feature spec with /to-spec, run this Skill to produce a flat markdown task list where Task 1 proves the architecture end-to-end and later tasks flesh out the working core. ## Quick Start Ask the AI to break the current spec or GitHub issue into vertical-slice implementation tasks using to-tasks.