What problem does it solve? Feature specifications often contain vague requirements, missing decisions, and ambiguous terminology that cause rework during planning and implementation. This Skill systematically scans a spec for underspecified areas 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 Questioning Loop: Asks up to 5 high-impact clarification questions one at a time, each with a recommended option or suggested answer, and encodes accepted answers directly into the spec file. - Checklist Re-validation: Re-evaluates the spec quality checklist after updates, reporting 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 security posture, data constraints, and acceptance criteria so downstream tasks are built on unambiguous requirements. ## Quick Start Ask the assistant to run the speckit-clarify workflow on the current feature spec to identify and resolve ambiguities before planning.
