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 including functional scope, data model, non-functional requirements, edge cases, and terminology, marking each as Clear, Partial, or Missing. - Interactive Clarification Loop: Asks up to 5 high-impact questions one at a time, each with a recommended option or suggested answer, and writes accepted answers into a ## Clarifications section of the spec. - Checklist Re-validation: Re-evaluates the spec quality checklist after updates, toggling checkbox states and reporting 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 firm requirements. ## Quick Start Ask the assistant to run the speckit-clarify workflow on the current feature spec to find and resolve ambiguities before planning.
