speckit-specify

To turn a natural language feature description into a structured product specification, provide the text to a specification generator. It outputs a plan-ready spec file with naming, scope, requirements, and validation criteria.

Generating acceptance criteria from a feature idea involves translating the description into structured validation checklists. This approach applies NLP to define clear scoping and validation steps for product planning workflows.

Yes, you can use a template to create a spec directory for feature planning. The process populates the directory with a structured specification file and a quality checklist to guide validation.

Yes, speckit-specify works for feature discovery and scoping. It translates natural language inputs into concise feature short names, structured requirements, and clear guidance for clarifications.

You need a dedicated spec directory to validate feature requirements because it centralizes the plan-ready specification template and quality checklist. This structure ensures proper documentation and validation flow.