What problem does it solve? Writing consistent, high-quality feature specifications from rough ideas is slow and error-prone. This Skill converts a natural language feature description into a structured, validated spec.md file following the spec-kit workflow, so planning and task breakdown can start from a solid foundation. ## Core Features & Use Cases - Specification Generation: Parses a feature description, extracts actors, actions, data, and constraints, then writes a complete spec.md from the resolved spec-template. - Quality Validation: Creates a requirements checklist and iteratively validates the spec against content quality, requirement completeness, and feature readiness criteria (up to 3 iterations). - Clarification Handling: Limits ambiguity to a maximum of 3 [NEEDS CLARIFICATION] markers and presents structured multiple-choice questions to resolve them. - Extension Hooks: Supports before_specify and after_specify hooks via .specify/extensions.yml for branch creation and post-processing. - Use Case: A product manager types a feature idea like "add passwordless email login" and receives a numbered feature directory (e.g., specs/003-passwordless-login) containing a validated spec.md ready for /speckit-plan. ## Quick Start Ask the AI to create a feature specification for your idea, for example: run speckit-specify with the description "add plant watering reminders with push notifications".