What problem does it solve? Development agents often fail because stories lack context, causing wrong libraries, broken regressions, and vague implementations. This Skill creates a complete story file that gives the dev agent everything needed for correct implementation. ## Core Features & Use Cases - Automatic Story Discovery: Reads sprint-status.yaml to find the next backlog story, or accepts an explicit epic-story identifier like "1-2-user-auth". - Exhaustive Context Gathering: Analyzes epics, PRD, architecture, UX documents, previous story learnings, and git history to build developer guardrails. - Quality Validation: Validates the generated story against a checklist that detects missing requirements, regression risks, and LLM optimization issues before marking it ready-for-dev. - Use Case: A team following the BMad method asks to "create the next story"; the Skill locates the next backlog item, assembles architecture constraints and prior learnings, writes the story file, and updates sprint status to ready-for-dev. ## Quick Start Ask the agent to create the next story from the sprint backlog, or specify a story such as "create story 2-4" to generate a fully contexted implementation file.
