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 structured questioning before planning begins. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec across a taxonomy covering functional scope, data model, UX flows, non-functional requirements, integrations, edge cases, and terminology. - Interactive Questioning Loop: Asks up to 5 high-impact questions one at a time, each with a recommended option or suggested answer, and encodes accepted answers directly into the spec file. - Incremental Spec Updates: Maintains a Clarifications section, updates affected sections atomically, and re-validates the spec quality checklist after each change. - 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 confirmed decisions. ## Quick Start Ask the assistant to clarify the current feature spec and resolve any ambiguities before planning.
