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, UX flows, 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, with recommended multiple-choice options or suggested short answers. - Incremental Spec Updates: Writes each accepted answer into a ## Clarifications session section and updates the relevant spec sections, then re-validates the requirements checklist. - Use Case: Before running /speckit-plan on a new feature, run this Skill to resolve open questions about security posture, data constraints, and acceptance criteria so the plan is built on firm requirements. ## Quick Start Ask the assistant to run the speckit-clarify skill to review the current feature spec and resolve its ambiguities before planning.
