Transform raw API payloads into strongly-typed internal models with validation and type mapping.
npx skills add https://github.com/zerobias-org/module --skill data-mapping
Please help me install this Agent Skill. Skill: data-mapping Source: https://github.com/zerobias-org/module/tree/main/.claude/skills/data-mapping Command: npx skills add https://github.com/zerobias-org/module --skill data-mapping
Data mapping patterns enable transforming raw API responses into strongly-typed internal models, enforcing contracts and reducing runtime errors during data ingestion.
Provide a raw API response and request a strongly-typed model using to<Model> mappers to generate the internal representation.
High-intent search queries and answers about installing and using this skill.
You can transform raw API payloads into strongly-typed internal models using a standardized mapper framework. This enforces required-field validation, type-specific mappings, and consistent type safety during data ingestion.
Converting snake_case API payloads to camelCase is handled automatically during the model mapping process. This normalization ensures your internal codebase consistently uses camelCase while consuming snake_case data from external APIs.
API data mapping validates required fields using ensureProperties() and normalizes optional fields with optional(). This preserves legitimate falsy values instead of treating them as missing, ensuring robust runtime validation.
Yes, nested objects are handled with mapWith() and dedicated helper mappers, while arrays are supported by mapping items individually. This applies appropriate type transforms to deeply nested API structures.
API string values are safely converted to enums using the toEnum() mapper. This provides robust type safety during API integration by ensuring only valid enum values are accepted into your internal models.
No external dependencies are required to map primitive types. The mapper framework includes built-in map() functions for converting DateTime, UUID, URL, and Email primitives directly from API payloads.
angryracoonPrepare Salesforce Data Cloud ingestion assets for raw source data.
RomualdPGenerate CQRS commands, queries, handlers, and read models with class-validator DTOs.
hpsgdGenerate JSON Schema and Pydantic models for Python configuration validation.
jtgironAlign Zod schema definitions, parsing flow, and inferred types in TypeScript projects.
