What problem does it solve? Large epics are too big to implement in one pass, and ad-hoc splitting produces horizontal layer stories that cannot ship independently. This Skill derives bounded, vertically sliced stories directly from an approved HLD so each story can run through the task lane on its own. ## Core Features & Use Cases - HLD-driven decomposition: Maps each C4 container in the approved HLD to a story, enforcing INVEST and vertical-slice rules with SPIDR splitting patterns. - Dependency mapping: Labels story pairs as blocks or informs, then groups stories into parallel execution waves. - Child manifest generation: Creates a manifest per story recording tier, gate status, dependencies, produced interfaces, spec scope, and HLD containers. - Use Case: After a human approves the HLD for a notifications epic, run this Skill to produce stories like "user gets an email on order-ship", a wave plan, and child manifests, then hand each story to the task lane. ## Quick Start Ask the AI to decompose the approved epic into stories using the epic-decomposition skill after the HLD has been human-approved.