Zod

Validate data against Zod schemas in TypeScript applications.

17|4|Updated Oct 21, 2025

Search Tags:#typescript #validation #schema #zod #parsing #error-handling #type-inference

Ready to run

npx skills add https://github.com/oriolrius/pki-manager-web --skill zod-oriolrius

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Zod
Source: https://github.com/oriolrius/pki-manager-web/tree/main/.claude/skills/zod
Command: npx skills add https://github.com/oriolrius/pki-manager-web --skill zod-oriolrius

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Zod provides a TypeScript-first approach to declaring and validating data shapes at runtime, ensuring type safety across client and server boundaries.

Core Features & Use Cases

Type Inference: Automatically infer TypeScript types from schemas.
Composable Schemas: Build complex validations from simple primitives.
Runtime Validation: Parse and safeParse to handle validation results gracefully.
Error Handling: Clear, structured error messages for debugging and UX.

Quick Start

Define a Zod schema and validate data with parse or safeParse to obtain a typed result.

Frequently Asked Questions about Zod

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

FAQPage Schema

How do I validate API input data using TypeScript schemas?▼

Define a Zod schema in TypeScript and use parse or safeParse to validate API input data, automatically inferring types to ensure runtime validation matches your static types.

What is type inference in TypeScript schema validation?▼

Type inference in schema validation automatically generates TypeScript types directly from your declared validation schemas, eliminating the need to manually define separate interfaces for your data models.

How do I handle validation errors when parsing user form data?▼

Use safeParse to handle validation errors gracefully when parsing form data; it returns a structured error object instead of throwing, providing clear messages for debugging and user experience.

Can I build complex validation rules from simple primitives?▼

Yes, you can build complex validations by composing simple schema primitives, applying refinements and transformations to create hierarchical rules for parsing intricate data structures.

Does runtime validation work for both frontend and backend workflows?▼

Runtime validation works across both frontend and backend workflows, allowing you to parse data, apply schema composition, and enforce type safety consistently across your entire application stack.

What is the best way to ensure type safety across client and server boundaries?▼

The best way to ensure type safety across boundaries is using a TypeScript-first schema validation approach, declaring data shapes once and validating them at runtime during data parsing workflows.