What problem does it solve? Large stories, epics, and backlog items are too big to deliver, test, and learn from in small batches, and naive decomposition produces technical component tasks (backend, frontend, database) instead of independently valuable user-facing slices. ## Core Features & Use Cases - Vertical Slice Decomposition: Reframe broad requirements into child stories that each deliver a whole user-visible capability, validated against the INVEST quality bar and a feedback triad. - Named Splitting Patterns: Apply SPIDR, Hamburger Method, Humanizing Work patterns, Bill Wake's twenty ways, and walking skeleton/tracer bullet techniques via an on-demand pattern catalog. - Structured Output: Produce a split artifact with a recommended first slice, split candidates table, parking lot, and warnings that feeds directly into implementation planning. - Use Case: Given an epic like "build online banking portal", reframe it into capabilities such as "customers can pay bills", then split into a first slice like "buyer can pay one invoice by card and receive a confirmation" with explicit deferrals and acceptance examples. ## Quick Start Ask the assistant to split a large story or epic into small end-to-end vertical slices, for example: "Split this epic about invoice payments into independently valuable child stories."