Requirements Clarity

The requirements-clarity skill transforms vague user requests into structured, actionable development tasks. It analyzes ambiguous frontend specifications and outputs clear feature lists, acceptance criteria, and technical constraints for AI agents to execute accurately.

When to use it

• You have a rough idea of a UI change but lack specific details on behavior or edge cases.
• You need to convert a high-level product requirement into a concrete implementation plan before coding begins.
• Your team requires standardized documentation to ensure consistent interpretation of user stories.
• You want to reduce iteration cycles by clarifying scope and constraints upfront in your prompts.

Key capabilities

• Parses unstructured natural language into organized requirement documents.
• Identifies missing information and suggests specific questions to refine the scope.
• Generates clear acceptance criteria for frontend components.
• Highlights potential technical conflicts or ambiguities in user descriptions.

Example prompts

"Turn this vague idea for a dark mode toggle into a detailed requirements document with edge cases." "Analyze my request for a responsive navigation bar and list the missing specifications needed to build it correctly." "Convert these three bullet points about a checkout flow into a structured set of acceptance criteria for an AI developer."

Tips & gotchas

This skill works best when you provide at least one concrete example or constraint, even if the rest of your request is vague. Avoid using it as a standalone step without reviewing the generated output to ensure it aligns with your actual business logic before passing it to a coding agent.