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 scans a spec-kit feature spec, asks up to 5 targeted 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 of categories including functional scope, data model, UX flow, non-functional requirements, integrations, and edge cases. - Interactive Questioning Loop: Presents one question at a time with recommended multiple-choice options or suggested short answers, capped at 5 questions per session. - Incremental Spec Integration: 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 authentication, data constraints, or error handling 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 identify and resolve ambiguities before planning.
