What problem does it solve? Writing clear, complete, and testable requirements is hard, and gaps or ambiguities in specs often surface only during implementation. This Skill generates domain-focused checklists that act as unit tests for requirements, validating completeness, clarity, consistency, and measurability before coding begins. ## Core Features & Use Cases - Requirements Quality Validation: Produces checklist items that test whether requirements are well-written, not whether the implementation works, covering completeness, clarity, consistency, coverage, and edge cases. - Dynamic Clarification: Derives up to three contextual clarifying questions from the user's phrasing and spec signals to calibrate scope, depth, audience, and risk emphasis. - Spec-Kit Integration: Reads spec.md, plan.md, and tasks.md from the feature directory, appends to existing checklists with continuing CHK IDs, and supports extension hooks via .specify/extensions.yml. - Use Case: Before implementing a new API feature, run the checklist generator with a security focus to produce security.md containing items like "Are rate limiting requirements quantified with specific thresholds?" for PR review. ## Quick Start Ask the AI to generate a UX requirements checklist for the current feature using the speckit-checklist skill.
