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 scans a spec-kit feature spec, asks up to 5 high-impact clarification questions, and writes the answers directly back into the spec. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec against a taxonomy covering functional scope, data model, UX flows, non-functional requirements, integrations, edge cases, and terminology. - Interactive Questioning Loop: Asks one question at a time (maximum 5) with recommended multiple-choice options or suggested short answers, then integrates each accepted answer into the appropriate spec section. - Checklist Re-validation: Re-evaluates the spec quality checklist at checklists/requirements.md after updates and reports newly passing items, regressions, and outstanding gaps. - Use Case: Before running /speckit-plan on a new feature, run this Skill to resolve open questions about security posture, scale assumptions, and acceptance criteria so the plan is built on confirmed decisions. ## Quick Start Ask the agent to run the speckit-clarify skill to review the current feature spec and resolve its ambiguities before planning.
