What problem does it solve? Turning a feature specification into a concrete implementation plan requires resolving technical unknowns, designing data models, and defining contracts, which is slow and inconsistent when done manually. ## Core Features & Use Cases - Plan Workflow Execution: Runs the spec-kit planning workflow via setup-plan.sh, filling Technical Context and Constitution Check sections in the plan template. - Research and Design Artifacts: Generates research.md, data-model.md, contracts/, and quickstart.md by resolving NEEDS CLARIFICATION items and extracting entities from the feature spec. - Extension Hooks: Dispatches optional and mandatory before_plan and after_plan hooks defined in .specify/extensions.yml. - Use Case: After writing a feature spec in a spec-kit project, invoke this Skill to produce a complete implementation plan with research decisions, data models, and validation guides. ## Quick Start Ask the AI to run the speckit plan workflow for the current feature branch to generate the implementation plan and design artifacts.