speckit-specify

To turn natural language feature ideas into testable specifications, provide a vague feature description and the system parses it to extract key concepts like actors, actions, and constraints. It then applies a standard template to generate a structured, plan-ready formal spec file.

Generating acceptance criteria from a vague product feature description involves parsing the natural language input to identify key concepts and automatically populating standard spec templates. This process yields testable requirements and structured sections for your feature specification.

The best way to define scope and generate a formal spec file for product planning is to apply a standard specification template to your feature description. This enforces generic spec requirements, ensuring the output includes structured sections and testable requirements without tying to specific implementations.

Yes, the specification process includes a built-in quality checklist for feature discovery. It validates and iterates on the generated feature spec through a clarifications flow, ensuring the final specification meets generic quality requirements and reduces ambiguity.

Yes, you can use automation hooks to iterate on a feature spec after generation. The system provides extension hooks for automation alongside its clarifications flow, allowing you to validate and refine testable requirements automatically.

Your feature specification lacks testable requirements before planning because it has not been parsed against a standard template. Translating vague ideas into concrete specs with a quality checklist enforces testable requirements and reduces ambiguity and rework.