speckit-clarify

To clarify feature specifications, this Skill asks up to 5 targeted questions to identify underspecified areas and encodes the answers directly back into the spec file for traceability. It requires a spec-kit project structure to function.

The best way to reduce ambiguity in feature specs is using targeted clarification questions. This Skill analyzes your specification, asks up to 5 highly targeted questions, and encodes your answers directly into the Markdown spec file.

Yes, you need a spec-kit project structure with a .specify/ directory to use this spec clarification tool. It relies on this specific environment to process specifications and output encoded Markdown files.

Questioning for encoding answers works by identifying underspecified areas in your feature spec, asking up to 5 targeted questions, and writing the responses directly back into the specification file to ensure clarity before planning.

Yes, you can use Python to automate feature specification clarification. This Skill uses Python for processing and Markdown for output, asking targeted questions to fill gaps in your feature specs within a spec-kit project.

Your feature specification clarification stops after 5 questions because this Skill is designed to ask a maximum of 5 highly targeted questions to reduce ambiguity. This limit ensures the clarification process remains focused and efficient.