What problem does it solve? Feature specifications often contain vague requirements, missing decision points, and undefined edge cases that cause rework during planning and implementation. This Skill systematically scans a spec for underspecified areas and encodes clarified answers directly back into the spec file. ## 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. - Interactive Questioning Loop: Asks up to 5 high-impact clarification questions one at a time, each with a recommended option or suggested answer. - Incremental Spec Updates: Records each accepted answer under a Clarifications section and applies it to the relevant spec sections, then re-validates the requirements checklist. - Use Case: Before running implementation planning on a new feature spec, run this Skill to resolve open questions about security posture, data constraints, and acceptance criteria so downstream tasks are built on unambiguous requirements. ## Quick Start Ask the assistant to clarify the current feature spec and resolve any ambiguous requirements before planning.
