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 development 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, then writes accepted answers into a ## Clarifications section of the spec. - Checklist Re-validation: Re-evaluates the spec quality checklist after updates and reports newly passing items, regressions, and outstanding gaps. - Use Case: Before running implementation planning on a new feature spec, invoke this Skill to resolve open questions about scope, security posture, and acceptance criteria so downstream tasks are built on confirmed decisions. ## Quick Start Ask the assistant to run the speckit-clarify skill to review the current feature spec and resolve its ambiguities.
