How does this skill handle TypeScript types?

The skill utilizes Zod's inference capabilities (z.infer) to automatically generate TypeScript interfaces from your schema definitions, ensuring your code stays perfectly in sync with your validation logic.

Is this skill suitable for API development?

Absolutely. It is specifically designed to create robust validation schemas for inputs and configurations, which is a core requirement for secure and reliable API services.

What is Zod-first development?

Zod-first development is an approach where schemas are defined as the single source of truth for both runtime validation and static TypeScript types, preventing type drift and reducing boilerplate.

Can it help with complex data transformations?

Yes, it provides patterns for using .transform() and .refine() to handle data normalization, cross-field validation, and complex domain-specific rules.

Zod Schema Designer

Name: Zod Schema Designer
Author: saleor

bysaleor

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Gestión de Bases de Datos

Designs and implements robust Zod schemas and TypeScript types using a Zod-first development approach for safe data modeling.

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The Zod Schema Designer skill facilitates a Zod-first development workflow by helping you define schemas as the primary source of truth for your application's data structures. It automates the creation of complex validation logic, including discriminated unions, branded types, and transformations, while ensuring that TypeScript types are accurately inferred to prevent type drift. This skill is essential for developers building data-intensive applications, API services, or configuration tools where runtime type safety and rigorous validation are required.

Características Principales

Advanced validation patterns including discriminated unions and branded types
21 GitHub stars
Zod-first schema architecture and implementation
Data normalization and transformation logic
Test data builder generation from schema definitions
Automatic TypeScript type inference using z.infer

Casos de Uso

Defining complex entity models and configuration schemas for automated tools
Implementing strict API input validation and sanitization
Ensuring domain-specific type safety with branded types and refinements

Acerca de

Características Principales

Advanced validation patterns including discriminated unions and branded types
21 GitHub stars
Zod-first schema architecture and implementation
Data normalization and transformation logic
Test data builder generation from schema definitions
Automatic TypeScript type inference using z.infer

Casos de Uso

Defining complex entity models and configuration schemas for automated tools
Implementing strict API input validation and sanitization
Ensuring domain-specific type safety with branded types and refinements