to-spec

To generate project specifications from chat, the skill synthesizes existing conversations and codebase insights into structured spec templates. It formulates precise requirements suitable for direct integration into issue trackers and project management workflows.

Yes, you can create issue tracker-ready specs using your current codebase context. The skill analyzes the existing codebase state and domain glossary to formulate accurate project requirements directly from your development environment.

The best way to write AI-assisted specs for project planning is using structured template generation. The skill guides you through synthetic spec creation, formulating requirements from discussion context while sketching test seams for existing modules.

Test seam analysis during specification generation works by evaluating your current codebase modules. The skill sketches test seams and offers guidance on existing module usage, ensuring your generated specs align with actual code architecture.

You do not need a specific external template format to turn conversations into specs. The skill provides built-in template-based writing, guiding you through structured spec creation tailored for AI-assisted development workflows.

You should not use automated spec generation for issue tracking when your conversation lacks sufficient technical context. The skill relies on existing discussion and codebase insights to synthesize requirements, so unstructured chats yield incomplete specifications.