clarify

Ambiguity in feature requests is reduced by scanning input against a taxonomy of requirements categories to identify missing information, then asking targeted questions. This ensures clarity in functional scope and data models before planning begins.

Gathering requirements for a new feature is best achieved through sequential questioning that guides you one question at a time. This process generates prioritized, high-impact multiple-choice or short-answer questions to refine scope.

Yes, you can clarify functional scope and data models using sequential questioning. It assesses your input against a requirements taxonomy and uses the AskUserQuestion tool to guide you through questions one at a time.

Targeted questions help with scope refinement by identifying and resolving ambiguities in your input. They generate prioritized options that extract specific decisions, ensuring a complete understanding for accurate feature definition.

Yes, clarification updates existing project plans by appending gathered clarifications and decisions. It writes validated information into existing or new plan files to ensure development proceeds with complete requirements.