speckit-specify

Transform a natural language feature idea into a structured specification by extracting actors, actions, data, and constraints to generate user stories, functional requirements, and acceptance criteria.

The best way to write functional requirements is automating extraction of key concepts from a natural language description to capture user scenarios, constraints, and testable success criteria.

Yes, you can generate user stories and acceptance criteria from a single descriptive prompt by applying specification workflows that capture requirements and validate spec quality iteratively.

This specification approach works directly for product discovery and validation workflows by applying an integrated quality checklist to refine assumptions and testable scenarios until plan-ready.

Validate feature specification quality before planning by applying an integrated checklist that iteratively refines assumptions, constraints, and success criteria until the spec is complete.

To start drafting a plan-ready feature specification, you only need a natural language feature description to automate concept extraction and guide critical clarification decisions.