What problem does it solve? It prevents LLM developer mistakes such as reinventing existing code, using wrong libraries, breaking regressions, and vague implementations by producing a story file containing all context a dev agent needs for implementation. ## Core Features & Use Cases - Story Discovery: Auto-detects the next backlog story from sprint-status.yaml or accepts an explicit epic-story identifier like 2-4. - Exhaustive Context Analysis: Loads epics, GDD, architecture, UX docs, project-context rules, previous story learnings, and git history to build developer guardrails. - Quality Validation: Validates the generated story against a competitive review checklist and updates sprint status to ready-for-dev. - Use Case: A game development team using the BMAD method asks the agent to create the next story; the skill analyzes all planning artifacts and outputs a complete implementation guide for the dev agent. ## Quick Start Ask the agent to create the next story, or specify a story such as "create story 2-4", and it will generate the full story file in the implementation artifacts folder.