speckit-specify

To convert natural language ideas into ready-to-plan specifications, provide a feature description to extract core concepts, define scope, assign user roles, and establish success criteria. This process automatically generates a complete spec with validation checklists and quality criteria.

Generating testable requirements from a feature description involves extracting actors, actions, data, and constraints to anchor the specification. The system bounds the work by defining scope, user roles, and success criteria, producing a structured spec with validation artifacts.

To create a product specification with a validation checklist, input a natural language feature idea to automatically generate a structured template. This template provisions under specs/ and includes built-in quality checks to surface ambiguities, decisions, and validation artifacts for planning.

Yes, you can extract user scenarios and success criteria directly from a feature idea through guided outline generation. The process identifies the feature from your input, extracts core concepts, and bounds the work with defined user roles and testable requirements.

Generating a specification requires no specific dependencies or technical setup. You simply provide a natural language feature description, and the system handles automated extraction, outline generation, and spec provisioning under specs/ with templates and validation artifacts.

Automated spec generation translates natural language feature ideas into complete, plan-ready specifications using a structured template, enabling rapid and consistent handoffs to planning and delivery. It surfaces ambiguities and decisions through built-in quality checks that manual writing often misses.