speckit-specify

To convert a natural language feature description into a structured specification, input your feature idea and the system will analyze it to identify actors, actions, data, and constraints, then output a review-ready spec with defined requirements and success criteria.

The best way to generate testable scenarios for feature planning is by translating your feature description into a complete specification, which automatically extracts validation artifacts and testable scenarios from the provided text.

You can create a review-ready spec with clear requirements and success criteria by providing a natural language feature prompt, which the system processes to enforce adherence to a standard spec template while documenting assumptions.

Yes, you can refine a specification iteratively because the workflow integrates clarifications and validation steps directly into the spec, allowing you to update assumptions and evaluation criteria as the feature planning progresses.

Generating a feature spec does not require you to manually format a template, as the system automatically enforces adherence to a standard spec template and outputs structured sections for requirements, user scenarios, and validation artifacts.

To document assumptions and evaluation criteria for a new feature, input your natural language description and the system will analyze the text to explicitly identify constraints, log assumptions, and map out clear uptake paths for execution.