What problem does it solve? Feature specifications often contain ambiguities, missing decisions, and vague requirements that cause rework during planning and implementation. This Skill systematically detects those gaps and resolves them through targeted questions before planning begins. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec across a taxonomy of categories (functional scope, data model, non-functional requirements, edge cases, terminology) and marks each as Clear, Partial, or Missing. - Interactive Questioning Loop: Asks up to 5 high-impact clarification questions one at a time, each with a recommended option or suggested answer, and integrates accepted answers directly into the spec file. - Checklist Re-validation: Re-evaluates the spec quality checklist after updates, reporting newly passing items, regressions, and remaining gaps. - Use Case: After drafting a feature spec with /speckit-specify, run this Skill to resolve open questions about security posture, scale assumptions, and acceptance criteria before invoking /speckit-plan. ## Quick Start Ask the assistant to clarify the current feature spec, optionally naming areas to focus on such as authentication or data retention.
