speckit-specify.agent

To turn natural language into a feature specification, provide a concise feature description to generate a formal spec outline. The process enforces a structured template with mandatory sections and a formal quality gate to reduce planning ambiguity.

The best way to validate feature specs for planning readiness is to run a formal quality gate check. This produces a checklist-ready validation report alongside the structured specification, ensuring all mandatory sections are complete.

The clarification workflow handles missing details by detecting gaps in the natural language input and proposing targeted clarifications. This ensures completeness and resolves ambiguity before the final feature specification is generated.

Yes, you can generate a structured spec template without manual formatting by inputting a natural language description. The system automatically enforces mandatory sections and applies quality checks to deliver a ready-to-plan feature specification.

A limitation when generating feature specifications from informal descriptions is that completeness depends on the initial input. If critical details are missing, the system must pause to propose clarifications, which may require iterative dialogue before passing the quality gate.

Yes, speckit-specify.agent supports end-to-end specification creation and validation. It converts natural language into a structured template, proposes clarifications for missing details, and outputs a validation report to confirm planning readiness.