spec-extractor

To turn a vague idea into structured feature specifications, provide a plain language description. The skill processes it to generate functional and non-functional requirements, edge cases, constraints, and acceptance criteria for engineering teams.

The best way to write acceptance criteria and edge cases is using a formal specification process. This skill outputs traceable requirements (REQ-), edge-case definitions, and Given-When-Then acceptance criteria to ensure testable feature specs.

Yes, you can generate non-functional requirements and constraints from a high-level user description. The skill extracts these elements automatically, documenting assumptions and defining a clear scope of applicability for new features.

To ensure feature requirements are testable and ready for implementation, the skill produces a formal specification document. It converts ambiguous descriptions into numbered traceable requirements and Given-When-Then acceptance criteria.

Yes, this specification extraction process works for both product and engineering teams. It operates at the early stages of feature work to produce complete, structured specifications that guide architecture and implementation across both disciplines.

The generated feature specifications follow a structured format that includes numbered requirements identified as REQ-, edge-case definitions, Given-When-Then acceptance criteria, documented assumptions, and a clear scope of applicability.