speckit-specify

Generating a feature specification from natural language requires applying a template-driven workflow that produces mandatory sections like goals, user stories, constraints, and risks. This approach ensures the output is technology-agnostic and ready for subsequent planning steps.

The best way to validate requirements and flag missing sections in a feature spec is using an automated quality checklist. This validation process identifies unclear requirements and tags items as [NEEDS CLARIFICATION] to guide users through prioritized questions for resolving gaps.

Yes, you can use a spec-template driven workflow to generate plan-ready specs for product planning. The output remains technology-agnostic and bounded in scope, producing a centralized template document directly suitable for subsequent planning and validation steps.

To handle ambiguities when turning vague ideas into user stories and acceptance criteria, the system identifies [NEEDS CLARIFICATION] items. It then guides you through a prioritized clarifications workflow to resolve gaps before finalizing the structured specification.

No, the generated feature specification does not include technology-specific implementation details. The output remains strictly technology-agnostic and bounded in scope, focusing entirely on structured product requirements rather than technical architecture or code implementation.