schema-type-consistency

What problem does it solve?

This skill ensures end-to-end type safety between Python backends and TypeScript frontends by ensuring CamelCase field names, bilingual support, and consistent API contracts.

Core Features & Use Cases

• CamelCase alignment: Converts snake_case Python models to camelCase JSON contracts for frontend consumption.
• Bilingual field support: Preserves bilingual fields name_en/name_ar in schemas and types.
• TypeScript generation & validation: Provides TS interfaces and Zod schemas that mirror Pydantic models.
• Use Case: When adding new request/response schemas, or updating bilingual data models, generate synchronized backend and frontend types and validations.

Quick Start

Create matching TypeScript types and a Zod validation schema from a given Pydantic schema, ensuring bilingual fields and camelCase naming, then validate with a sample payload.