Composition Data Modeling

Design composition data structures using TypeScript types that represent hierarchical relationships from product to elements, then map them to Prisma schemas. This approach enforces structured typing, metadata capture, and confidence levels to support reliable querying and consistent rendering across your API and database.

Yes. The Skill provides transform helpers to flatten tree structures into node arrays and compute depth totals, enabling you to return optimized Composition API responses with both hierarchical context and aggregated element data in a single payload.

Structure your API response to return flattened node arrays alongside depth totals and source tracking metadata. This pattern supports researchability and allows clients to render compositions consistently without repeatedly traversing the hierarchy.

Apply the Skill's transformation patterns to convert between TypeScript type definitions, Prisma schema representations, and JSON-serialized composition graphs. This ensures type safety and consistent data structure handling across your entire data pipeline.

Yes, if you're designing schemas or APIs for hierarchical data like products containing components containing materials. Composition data modeling enforces structured validation, source tracking, and visual configuration to prevent inconsistent representation across systems.

Capture metadata including confidence levels, source attribution, and visual configuration alongside the hierarchical structure. This metadata supports reliable querying, audit trails, and consistent rendering when composition data moves between systems or formats.