speckit-specify

To create feature specifications from natural language, describe your feature idea in a sentence. The system outputs a complete SPEC_FILE containing functional requirements, user scenarios, measurable success criteria, entities, and documented dependencies for immediate review.

Writing measurable success criteria is best handled by automating specification creation from feature ideas. This approach guides your specification structure, enforces testable requirements, and validates quality through iterative clarifications and a built-in checklist.

Yes, you can use custom templates for feature specification generation. The system supports extension hooks and versioned templates, allowing you to tailor the generated SPEC_FILE structure to match your specific team processes and planning workflows.

Yes, the specification generator validates functional requirements and assumptions. It performs pre-execution checks, generates structured outlines, and applies a built-in validation checklist to ensure all documented requirements remain testable and measurable.

A complete feature specification should include user scenarios, functional requirements, success criteria, entities, dependencies, and assumptions. Generating this from natural language ensures all these components are structured properly and ready for team review.

You use automated specification generation to reduce ambiguity and speed up planning workflows. Unlike manual outlining, it enforces testable requirements, performs quality validation, and documents dependencies automatically from simple natural language prompts.