What problem does it solve? Feature specifications often contain vague requirements, missing decisions, and unresolved placeholders that cause rework during planning and implementation. This Skill systematically scans a spec for underspecified areas and encodes stakeholder answers directly back into the spec file. ## 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 Questioning Loop: Asks up to 5 high-impact questions one at a time, each with a recommended multiple-choice option or suggested short answer grounded in best practices. - Incremental Spec Integration: Writes each accepted answer into a Clarifications section and updates the relevant spec sections atomically, 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 confirmed decisions. ## Quick Start Ask the assistant to run speckit-clarify on the current feature spec to find and resolve its biggest ambiguities.
