generate_feature_prd_and_implementation

Yes, you can use the generated feature spec to orchestrate backend, frontend, and test code generation. The skill outputs a structured Markdown PRD designed specifically for downstream skills to consume and drive unified codegen workflows.

To generate a PRD with database schema, API design, and UI scaffolding, use this skill to interactively author and compile requirements into a single Markdown artifact at docs/features/<feature-slug>.md. It guides you section-by-section to capture all functional and technical specifications.

The best way to document feature requirements for downstream code generation is to output a formal PRD file that captures test cases and API contracts. This skill standardizes documentation into a unified Markdown format so codegen tools can easily parse and consume it.

To ensure your feature spec covers edge cases and non-functional requirements, this skill guides you through dedicated PRD sections during interactive authoring. It systematically prompts you to define user stories, constraints, and test cases alongside the data model.

Yes, this PRD generation skill maintains a change log by prepending date-stamped entries to the artifact upon updates. This ensures all future modifications to the feature spec are tracked chronologically within the same Markdown file.

Yes, you can use the generated feature spec to orchestrate backend, frontend, and test code generation. The skill outputs a structured Markdown PRD designed specifically for downstream skills to consume and drive unified codegen workflows.