What problem does it solve? Feature specifications often contain vague requirements, missing decisions, and ambiguous terms that cause rework during implementation. This Skill systematically scans a spec-kit feature specification for gaps and resolves them through targeted questions before planning begins. ## Core Features & Use Cases - Coverage-Based Ambiguity Scan: Evaluates the spec across a taxonomy of categories including functional scope, data model, UX flow, non-functional attributes, integrations, edge cases, and terminology. - Prioritized Interactive Questioning: Asks up to 5 high-impact questions one at a time, each with a recommended multiple-choice option or suggested short answer based on best practices. - Incremental Spec Updates: Records each accepted answer in a ## Clarifications session section and applies it to the relevant spec sections, saving after every integration. - Use Case: Before running /speckit.plan on a new feature spec, run this Skill to resolve questions like authentication strategy, data retention limits, or error handling behavior, so the plan is built on confirmed decisions. ## Quick Start Ask the agent to clarify the current feature specification with speckit-clarify before creating the implementation plan.
