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 covering functional scope, data model, UX flows, non-functional requirements, integrations, edge cases, and terminology. - Interactive Questioning Loop: Asks up to 5 high-impact clarification questions one at a time, each with a recommended option and reasoning, then writes accepted answers into a ## Clarifications section of the spec. - Checklist Re-validation: Re-evaluates the spec quality checklist at checklists/requirements.md after updates, reporting newly passing items and regressions. - Use Case: Before running /speckit-plan on a new feature, run this Skill to resolve open questions about authentication, data constraints, or acceptance criteria so the plan is 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.
