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adelabdelgawad
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schema-type-consistency

Align Python Pydantic schemas with TypeScript types and CamelCase JSON contracts.

Updated Dec 16, 2025
Search Tags:#TypeScript#Zod#Pydantic#frontend-backend#type-safety#bilingual#CamelCase
One-click install
npx skills add https://github.com/adelabdelgawad/meal_request --skill schema-type-consistency
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: schema-type-consistency
Source: https://github.com/adelabdelgawad/meal_request/tree/main/.claude/skills/schema-type-consistency
Command: npx skills add https://github.com/adelabdelgawad/meal_request --skill schema-type-consistency

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about schema-type-consistency

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I keep Pydantic schemas and TypeScript types in sync?▼

To keep Pydantic schemas and TypeScript types in sync, enforce CamelCase JSON contracts and generate matching Zod validation schemas that mirror your backend models for consistent end-to-end type safety.

How do I convert snake_case Python models to camelCase for frontend APIs?▼

Convert snake_case Python models to camelCase for frontend APIs by enforcing CamelModel inheritance, which aligns Python Pydantic schemas with TypeScript types for frontend consumption.

Can I generate Zod validation schemas from Pydantic models?▼

Yes, you can generate Zod validation schemas from Pydantic models to provide TypeScript interfaces and runtime validations that mirror your backend request and response schemas.

How do I handle bilingual field support like name_en and name_ar in TypeScript?▼

Handle bilingual field support like name_en and name_ar in TypeScript by preserving bilingual naming conventions during schema generation, ensuring both backend and frontend types maintain consistent fields.

Does this schema alignment approach work with FastAPI and Next.js?▼

Yes, this schema alignment approach works with FastAPI and Next.js by enforcing consistent API contracts between the backend and frontend teams through aligned types and validations.

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