pipeline-artifacts

To standardize pipeline artifacts, use YAML and Markdown templates to define and validate schemas for feature inputs, clarifications, and high-level plans. This ensures consistency across pipeline stages and maintains traceability to the feature name.

An artifact inventory is a tracking system using templates to manage files like feature_input.yaml, clarifications.md, and context_pack.yaml. It organizes pipeline stages by maintaining consistency and ensuring smooth handoffs between teams.

Create and validate artifact schemas by applying predefined YAML and Markdown templates to your feature's inputs and plans. Update the artifact inventory accordingly to maintain traceability and ensure all files conform to the established structure.

No specific dependencies are required to use these YAML and MD schemas for pipeline automation. The templates provide background guidance and reference schemas that can be applied directly to manage artifacts across pipeline stages.

The best way to track feature inputs and clarifications is by maintaining an artifact inventory with standardized YAML and MD files. This enables reproducibility, automation, and smooth handoffs by ensuring all artifacts are documented and traceable.

Pipeline artifact schemas lack consistency when teams do not use standardized templates for inputs, clarifications, and plans. Applying defined YAML and MD schemas and updating an artifact inventory ensures traceability and uniform organization across all stages.