What problem does it solve? Feature specifications often contain ambiguous requirements, missing decisions, and vague language that cause rework during planning and implementation. This Skill systematically scans a spec-kit feature spec, asks up to five high-impact clarification questions, and writes the accepted answers directly back into the spec. ## 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: Presents one question at a time with recommended multiple-choice options or suggested short answers, capped at five questions per session. - Incremental Spec Updates: Appends each accepted answer to a Clarifications section and updates the relevant spec sections, then re-validates the requirements checklist. - Use Case: Before running /speckit-plan on a new feature, run this Skill to resolve open questions about security posture, data constraints, or acceptance criteria so the plan is 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.
