What problem does it solve? Feature specifications often contain ambiguity, missing decisions, and vague requirements 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 answers directly back into the spec file. ## 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, constraints, 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 session section and applies it to the relevant spec sections with validation after every write. - Use Case: Before running /speckit-plan on a new feature, run this Skill to resolve open questions about security posture, data volume, and acceptance criteria so the plan is built on concrete decisions. ## Quick Start Ask the AI to run the speckit-clarify workflow on the current feature spec to find and resolve ambiguities before planning.
