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 for gaps and resolves them through structured, quota-limited questioning before planning begins. ## Core Features & Use Cases - Structured Ambiguity Scan: Evaluates the spec across a taxonomy of categories including functional scope, data model, non-functional requirements, edge cases, and terminology, marking each as Clear, Partial, or Missing. - Interactive Clarification Loop: Asks up to 5 high-impact questions one at a time, offering recommended multiple-choice options or suggested short answers based on best practices. - Incremental Spec Updates: Writes each accepted answer into a ## Clarifications session section and applies it to the relevant spec sections, validating consistency after every save. - Use Case: Before running /speckit-plan on a new feature, run this Skill to resolve open questions about authentication, data retention, 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 its ambiguities.
