speckit-specify

Feature specification generation from natural language descriptions produces a structured spec.md containing user stories, acceptance criteria, and risk assessments. You describe a feature idea in plain text and the system outputs a complete spec ready for planning and stakeholder review.

Turning vague product ideas into testable requirements involves creating a structured outline with functional requirements, success criteria, and constraints. The system processes plain text descriptions and outputs user scenarios and spec readiness validations to drive planning and delivery.

Spec-kit workflow validation handles feature spec quality checks through a built-in validation workflow that assesses spec readiness for planning. It evaluates generated user scenarios, functional requirements, and success criteria to ensure specifications meet the project's structural standards.

Creating user stories and acceptance criteria from a plain text feature description is fully supported. You provide a natural language description of your feature, and the system generates a complete specification document including user stories, acceptance criteria, and risk assessment.

Speckit-specify operates within a spec-kit project structure to function properly. It relies on this environment to handle extension hooks, outlines, and the validation workflow required for generating production-ready feature specifications.

Automated specification generation for complex features requires clear natural language descriptions to produce accurate results. While it handles outlines, extension hooks, and validation workflows effectively, extremely ambiguous feature descriptions may yield incomplete requirements or user scenarios needing manual refinement.