Is safeParse better than the standard parse method?

safeParse is generally preferred in application logic because it returns a result object with a success flag rather than throwing an exception, allowing for cleaner and more predictable error handling.

Why should I use z.infer instead of manual TypeScript interfaces?

Using z.infer ensures your types always match your runtime validation logic. Manual interfaces can drift out of sync with your schemas, leading to bugs where the UI allows data that the validator later rejects.

Can this skill handle complex conditional validation?

Yes, it includes patterns for using the .refine() method to handle complex cross-field dependencies, such as password confirmation fields or conditional shipping address requirements.

What is the Type Inference Chain pattern?

The Type Inference Chain is a design pattern where a Zod schema acts as the single source of truth, automatically generating TypeScript types that are then used consistently across forms and state stores.

How does this integrate with React Hook Form?

The skill provides specific patterns for using the zodResolver to connect your Zod schema directly to the useForm hook, providing full type safety for form submission and error handling.

Zod Type Inference Chain

Name: Zod Type Inference Chain
Author: Agentient

byAgentient

Herramientas para Desarrolladores

Ensures absolute type safety across the application data layer by synchronizing Zod schemas with TypeScript types, forms, and state management.

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The Zod Schema Type Inference Chain skill implements a robust architectural pattern that treats the Zod schema as the single source of truth for an entire application. By automatically deriving TypeScript types from runtime validation schemas, it eliminates manual type maintenance and prevents 'type drift' between the validation layer, UI forms via React Hook Form, and global state management via Zustand. This skill provides a comprehensive library of patterns for schema composition, nested objects, conditional validation, and safe error handling, making it indispensable for building scalable, production-grade TypeScript applications.

Características Principales

Type-Safe Form Integration: Seamless patterns for React Hook Form using zodResolver.
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State Management Synchronization: Ensures Zustand stores remain perfectly aligned with validation rules.
Single Source of Truth: Inferred TypeScript types automatically derived from Zod schemas.
Safe Error Handling: Implementation patterns for non-throwing validation using safeParse and result flattening.
Complex Schema Composition: Support for nested objects, arrays, and advanced cross-field refinements.

Casos de Uso

Synchronizing frontend form validation with backend API data structures to prevent runtime errors.
Developing scalable state management systems where global state types are strictly enforced by schemas.
Building complex multi-step forms with conditional field requirements and cross-field logic.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit zod-schema-type-inference-chain

For use in Claude.ai and ChatGPT

Download Skill

GitHub

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Características Principales

Type-Safe Form Integration: Seamless patterns for React Hook Form using zodResolver.
0 GitHub stars
State Management Synchronization: Ensures Zustand stores remain perfectly aligned with validation rules.
Single Source of Truth: Inferred TypeScript types automatically derived from Zod schemas.
Safe Error Handling: Implementation patterns for non-throwing validation using safeParse and result flattening.
Complex Schema Composition: Support for nested objects, arrays, and advanced cross-field refinements.

Casos de Uso

Synchronizing frontend form validation with backend API data structures to prevent runtime errors.
Developing scalable state management systems where global state types are strictly enforced by schemas.
Building complex multi-step forms with conditional field requirements and cross-field logic.