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 underspecified areas in a spec-kit feature spec and resolves them through targeted clarification questions before planning begins. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec across a taxonomy of categories including functional scope, data model, non-functional requirements, edge cases, and terminology, marking 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 encodes accepted answers directly into the spec under a Clarifications section. - Checklist Re-validation: Re-evaluates the spec quality checklist after updates, reporting newly passing items, regressions, and remaining 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 downstream planning proceeds on a solid spec. ## Quick Start Ask the assistant to clarify the current feature spec, optionally naming specific areas to focus on, and answer the questions it presents.
