What problem does it solve? Turning a rough feature idea into a complete, testable specification is slow and error-prone; this Skill automates the creation of structured spec files that are ready for planning and implementation. ## Core Features & Use Cases - Spec Generation: Creates a feature directory and spec.md from a natural language description, with automatic short-name and numbering (sequential or timestamp). - Quality Validation: Generates a requirements checklist and iteratively validates the spec against content quality, completeness, and readiness criteria (max 3 iterations). - Clarification Handling: Limits ambiguity to 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 OAuth2 login" and receives a complete, validated spec at specs/003-oauth2-login/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 user authentication with OAuth2".