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 focused 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. - Prioritized Questioning: Asks up to 5 high-impact questions one at a time, each with a recommended answer and multiple-choice or short-answer format. - Incremental Spec Updates: Writes each accepted answer back into the spec under a Clarifications section and updates the relevant requirement sections, then re-validates the spec quality checklist. - Use Case: After drafting a feature spec with /speckit-specify, run this Skill to resolve open questions like authentication strategy or data retention limits before invoking /speckit-plan. ## Quick Start Ask the assistant to run the speckit-clarify skill to review the current feature spec and clarify any underspecified areas.
