zod

Validate runtime data against TypeScript types with Zod schemas.

7|Updated Jan 29, 2026

Search Tags:#typescript #validation #library #runtime #parsing #schemas #inference

Ready to run

npx skills add https://github.com/joabgonzalez/ai-agents-skills --skill zod-joabgonzalez

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/joabgonzalez/ai-agents-skills/tree/main/skills/zod
Command: npx skills add https://github.com/joabgonzalez/ai-agents-skills --skill zod-joabgonzalez

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TypeScript-first runtime schema validation that provides automatic type inference and robust validation for data entering your system.

Core Features & Use Cases

Automatic type inference from schemas into TypeScript types
Safe parsing with clear error handling via safeParse
Composable schemas (objects, strings, numbers, unions, refinements, transforms)
Runtime validation for API inputs, form data, and data shaping

Quick Start

Install zod in your project and import { z } from 'zod' to begin defining schemas.

Frequently Asked Questions about zod

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

FAQPage Schema

How do I validate runtime data against TypeScript types?▼

Runtime data validation against TypeScript types is achieved by defining schemas with z.object and z.string, which automatically infer types and safely parse incoming API inputs or form data.

What is automatic type inference from schemas in TypeScript?▼

Automatic type inference from schemas allows you to define a validation structure once, and TypeScript automatically infers the static types from that schema, eliminating duplicate type definitions.

How do I handle parsing errors safely in TypeScript?▼

Safe parsing handles errors safely by returning a result object instead of throwing, letting you gracefully manage invalid runtime data and access detailed error reports without crashing your application.

Does TypeScript runtime validation work for API input and form data?▼

TypeScript runtime validation works for API input and form data by applying schema combinators to shape and validate incoming payloads, ensuring data entering your system matches expected types.

Can I compose complex schemas with unions and refinements in TypeScript?▼

You can compose complex schemas using unions, refinements, and transforms to create robust validation rules, allowing you to validate nested structures and custom constraints within your TypeScript projects.

What is the best way to shape data across TypeScript projects?▼

The best way to shape data across TypeScript projects is using composable schemas that provide runtime-safe parsing and automatic type inference, ensuring consistent data structures from API inputs to form handling.