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 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 integrates accepted answers directly into the spec file under a Clarifications section. - 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, run this Skill to resolve open questions about security posture, scale targets, and edge-case handling so downstream plans are built on confirmed decisions. ## Quick Start Ask the assistant to run the speckit-clarify workflow on the current feature spec to find and resolve ambiguities before planning.
