Should I define TypeScript interfaces separately from Zod schemas?

No, you should use z.infer to derive your TypeScript types directly from your Zod schemas. This ensures your types and validation logic stay perfectly in sync as a single source of truth.

How does Zod handle URL parameters that arrive as strings?

Zod provides coercion tools (z.coerce) that automatically attempt to convert string inputs into numbers, booleans, or dates during the validation process, which is ideal for query parameters and form data.

Why use safeParse instead of parse?

safeParse returns a result object containing either the validated data or detailed error issues, preventing unhandled exceptions and allowing for graceful, field-level error reporting in user interfaces.

Can Zod handle cross-field validation like password matching?

Yes, using the superRefine method, you can access the entire data object to compare fields and add custom issues to specific field paths, such as ensuring a password and confirmPassword field match.

Zod Schema Validation Patterns

Name: Zod Schema Validation Patterns
Author: agents-inc

byagents-inc

0•

API Development

Implements robust TypeScript runtime validation using Zod schemas for API responses, form inputs, and configuration files.

This skill provides a comprehensive set of patterns and best practices for implementing Zod-based validation in TypeScript projects. It emphasizes the 'define once, derive types' philosophy to eliminate drift between schemas and interfaces, ensuring type safety at trust boundaries like API entry points and user forms. By leveraging advanced features like discriminated unions, transforms, and safe parsing, it helps developers build resilient applications that handle external data gracefully without unhandled exceptions, all while following modern Zod v4 standards.

Key Features

010 GitHub stars

02Safe parsing for exception-free error handling in user-facing flows

03Cross-field validation using refine and superRefine

04Data coercion for URL parameters and form string inputs

05Automatic type inference from schemas using z.infer

06Schema composition using extend, pick, omit, and partial

Use Cases

01Handling complex multi-field web form validation with custom error messages

02Validating untrusted API response data before application use

03Parsing and validating environment variables or configuration files

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agents-inc/skills web-forms-zod-validation

For use in Claude.ai and ChatGPT

Key Features

010 GitHub stars

02Safe parsing for exception-free error handling in user-facing flows

03Cross-field validation using refine and superRefine

04Data coercion for URL parameters and form string inputs

05Automatic type inference from schemas using z.infer

06Schema composition using extend, pick, omit, and partial

Use Cases

01Handling complex multi-field web form validation with custom error messages

02Validating untrusted API response data before application use

03Parsing and validating environment variables or configuration files

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agents-inc/skills web-forms-zod-validation

For use in Claude.ai and ChatGPT