cl:srs-flow

To generate a Software Requirements Specification, you provide a project topic and a multi-step workflow guides you through intake, brainstorming, spec writing, planning, user review, SRS generation, and automated validation.

The best way to structure an SRS is using a guided workflow that covers topic intake, deep brainstorming, specification writing, and planning, ensuring comprehensive documentation with automated validation checks.

Yes, you can validate your software requirements specification automatically using integrated Python scripts that check the generated SRS against predefined criteria during the final workflow phase.

Yes, the SRS workflow saves comprehensive context for all phases, ensuring the structured documentation retains inputs from topic intake, deep brainstorming, and planning through final generation and validation.

Yes, you need Python installed because the automated validation relies on executing Python scripts, specifically the srs_validator.py dependency, to check the generated specification against predefined criteria.

A limitation of this automated SRS workflow is the required Python dependency for validation scripts, and the rigid seven-phase process may require manual user review to ensure the generated specification fits specific stakeholder communication needs.