speckit-specify

To create a formal specification from a natural language feature description, input your text to generate a structured spec with a feature name, scope, and acceptance criteria. It automatically extracts user scenarios and functional requirements while flagging ambiguities.

The best way to write acceptance criteria from a rough feature idea is to use an automated specification generator. It translates your text into structured user scenarios and success criteria, documenting assumptions and identifying ambiguities to ensure testable requirements.

Yes, you can generate testable requirements with ambiguous feature descriptions. The specification process actively flags ambiguities and documents required clarifications, ensuring alignment across stakeholders and maintaining the testability of the functional requirements.

To structure feature specifications for planning and validation teams, generate a concise feature short name and a structured spec directory. This creates a ready-to-implement document containing user scenarios, success criteria, and documented assumptions for cross-domain alignment.

Yes, automated specification generation works for product planning across different domains. The generated specification applies universally to planning and validation workflows, ensuring clarity and testable requirements regardless of the specific product domain.

You should document assumptions when creating feature requirements to ensure clarity and alignment across stakeholders. Explicitly documenting assumptions helps identify ambiguities and required clarifications, which guarantees that the generated acceptance criteria remain fully testable.