speckit.specify

To turn a natural language feature description into a testable specification, provide your text to the Skill. It analyzes the input to extract actors, actions, data, and constraints, then generates structured functional requirements, user scenarios, and success criteria.

The best way to define feature requirements from a vague idea is to process the text through automated requirement analysis. It identifies missing information, fills gaps with informed assumptions, and asks clarifying questions to ensure a clearly scoped, testable feature.

You generate user scenarios and success criteria by inputting your unstructured feature idea. The system parses the natural language to identify core components and automatically produces structured specification artifacts including risk assessments and technology-agnostic functional requirements.

Yes, you can create technology-agnostic functional requirements automatically. The Skill translates natural language descriptions into a complete specification, ensuring all requirements and constraints are defined in a format independent of specific implementation technologies.

Requirement validation works by analyzing the natural language input for actors and constraints, then managing assumptions and clarifications. It highlights gaps in the feature description, asking targeted questions to validate scope before generating the final specification.

No, you do not need a structured format to start generating a feature specification. You simply provide a natural-language feature description, and the system extracts the necessary actors, actions, and data to build a complete, plan-ready specification.