spec-writer:specs-workflow

To write implementation-ready feature specifications, you need a guided discovery process that surfaces stories from problem understanding, then organizes them into a structured SPEC.md with clear problem statements, personas, and measurable success criteria.

Requirements traceability in Agile is the practice of logging decisions, research, and revisions throughout the lifecycle to maintain cross-file auditability between the original problem understanding and the final functional requirements.

Structure a SPEC.md by graduating user stories through a discovery workflow into distinct sections: Problem Statement, Personas, User Stories, Requirements, Edge Cases, and Success Criteria to ensure complete feature specification.

Yes, you can capture edge cases and success criteria during requirements discovery by using automation scripts to add questions, log decisions, and extract functional requirements directly as stories are crystallized and developed.

The best way to manage project research and decision logs is to use automation scripts that log iterations and research throughout the spec lifecycle, enforcing traceability between problem discovery and execution-ready requirements.