speckit-clarify

To resolve ambiguity in feature specifications, you can use an interactive clarification loop that scans project specs against a taxonomy to identify missing functional, technical, or edge-case requirements and records decisions directly into the file.

Underspecified requirements cause project uncertainty by leaving missing decision points undefined, which creates downstream implementation risks when team members and stakeholders attempt to build features without explicit functional and non-functional constraints.

The best way to ensure development readiness is to conduct structured clarification that systematically gathers necessary decisions to fill gaps in incomplete feature specs, ensuring high-fidelity, spec-driven development workflows before planning begins.

You identify missing functional and edge-case requirements by scanning feature specifications against a comprehensive multi-category taxonomy that flags underspecified constraints within your project documentation.

Yes, the clarification process works without external dependencies, operating as a standalone script component to analyze feature specifications and execute the interactive questioning loop directly.

You should not use automated spec clarification when a feature specification is already explicitly defined with all functional and non-functional constraints, as the interactive loop is designed to resolve vagueness and incomplete requirements.