zod

Validate runtime data and infer TypeScript types with Zod schemas.

Updated Aug 27, 2026

Search Tags:#typescript #validation #schema #runtime #error-handling #types #json-schema

Ready to run

npx skills add https://github.com/ShadowAUS/chez-king-portal --skill zod-shadowaus

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/ShadowAUS/chez-king-portal/tree/main/.tessl/tiles/secondsky/claude-skills/plugins/zod/skills/zod
Command: npx skills add https://github.com/ShadowAUS/chez-king-portal --skill zod-shadowaus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Zod provides runtime validation and static type inference for TypeScript, enabling developers to validate data across API requests/responses, forms, env vars, and configs with zero runtime dependencies and a clear metadata system.

Core Features & Use Cases

Type-safe runtime validation for API data, user input, and config objects
Type inference for schemas via z.infer, z.input, and z.output
JSON Schema generation, metadata registry, and localized error messages
Lightweight, zero-dependency core (2kb gzipped) suitable for frontend and backend

Quick Start

Validate a JSON payload against a strict schema and infer the resulting TypeScript type, then handle validation errors gracefully.

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 and infer TypeScript types simultaneously?▼

Runtime data validation and TypeScript type inference work together by defining a schema that validates incoming data while automatically inferring the resulting static types, ensuring predictable behavior for API requests and config objects.

What is the best way to validate API request payloads in TypeScript?▼

Validating API request payloads in TypeScript is best handled by defining strict schemas that check runtime data structures and infer types, ensuring type-safe responses and requests without relying on external runtime dependencies.

Can I generate JSON Schema from TypeScript types for validation?▼

JSON Schema generation from TypeScript types is supported directly, allowing developers to produce standard JSON Schema outputs from defined validation schemas for broad interoperability across different platforms and services.

Does runtime schema validation work with zero dependencies in frontend projects?▼

Runtime schema validation with zero runtime dependencies is designed for frontend and backend TypeScript projects, featuring a lightweight 2kb gzipped core that ensures minimal footprint while maintaining type safety.

How do I handle localized error messages for schema validation?▼

Localized error messages for schema validation are handled through a built-in metadata registry system, allowing developers to customize and internationalize validation error outputs for various user locales.

Why do I need runtime validation when I already have TypeScript types?▼

Runtime validation is necessary alongside TypeScript types because static types only exist during development; runtime validation ensures incoming API data, user inputs, and environment variables actually match expected structures at execution.