speckit-specify

To generate a feature specification from natural language, describe your feature concept and the tool translates it into a structured, plan-ready spec. It extracts actors, actions, data, and constraints, organizing them into a testable, technology-agnostic plan.

A feature specification should include user scenarios, functional requirements, success criteria, and validation notes. It ensures requirements are testable and measurable, producing a structured spec template and a quality checklist for planning readiness.

Yes, you can use natural language requirements to create a testable plan for new features. The process extracts key concepts and organizes them into a quality-focused plan, applying extension hooks and iterative checks to surface clarifications.

To update an existing specification using natural language, provide your updated feature description. The tool applies to planning updates to existing specs, extracting actors, actions, data, and constraints to regenerate a structured, plan-ready specification.

Yes, the specification generation process supports scoping and quality checks. It produces a quality checklist and applies iterative quality checks to ensure requirements are testable, measurable, and ready for planning review.

The best way to structure functional requirements from a plain text description is to extract key concepts like actors, actions, and constraints. This produces a concise short name and an auto-generated spec skeleton with sections for validation and success criteria.