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 any planning begins. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec across a taxonomy of categories (functional scope, data model, non-functional requirements, edge cases, terminology) and marks each as Clear, Partial, or Missing. - Interactive Questioning Loop: Asks up to 5 high-impact clarification questions one at a time, each with a recommended option or suggested answer based on best practices. - Incremental Spec Integration: Writes each accepted answer directly 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 spec with /speckit-specify, run this Skill to resolve open questions about authentication, scale targets, and edge cases before handing the spec to /speckit-plan. ## Quick Start Ask the assistant to run the speckit-clarify skill to review the current feature spec and resolve its ambiguities.
