zod

Validate runtime data against TypeScript schemas with automatic type inference.

Updated Jan 18, 2026
One-click install
npx skills add https://github.com/csim-sg/yacc --skill zod-csim-sg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/csim-sg/yacc/tree/main/.opencode/skills/zod
Command: npx skills add https://github.com/csim-sg/yacc --skill zod-csim-sg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a TypeScript-first approach to data validation, offering runtime checks that align with static types, reducing runtime errors and type drift in applications.

Core Features & Use Cases

  • Type-safe schemas with automatic TypeScript inference for both input and output data.
  • Rich validation capabilities across primitives, objects, unions, refinements, and async checks.
  • Seamless integration with popular tooling (React, API clients, and server frameworks) to ensure consistent validation across the stack.

Quick Start

Install zod in your project, define a schema, derive a TypeScript type, and validate data at runtime. Example: define a user schema with id, email, and age, then call safeParse on input data to ensure type-safe results.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I validate API data against TypeScript schemas at runtime?

To validate API data against TypeScript schemas at runtime, define a zod schema for your data structure and call safeParse on incoming requests. This ensures runtime data aligns with compile-time types, preventing type drift in server frameworks and API clients.

What is the best way to enforce type safety for form validation in TypeScript?

Type safety for form validation is enforced by defining a zod schema that supports primitives, objects, and unions. Derive TypeScript types from the schema and validate form inputs at runtime, ensuring consistent validation across your React components and server.

Does zod support async validations for complex data ingestion?

Zod supports async validations for complex data ingestion scenarios. You can define schemas with async checks and refinements, allowing runtime validation to handle asynchronous data sources while maintaining automatic TypeScript inference for both input and output data.

Why do I need runtime validation when I already have compile-time types in TypeScript?

You need runtime validation because compile-time types do not check incoming API data or form inputs. Runtime validation with zod ensures external data matches your TypeScript schemas, reducing runtime errors and type drift that static typing alone cannot prevent.

Can I define reusable validation schemas with refinements and unions for data ingestion?

You can define reusable validation schemas using zod by applying primitives, objects, unions, and refinements. This pattern enables strict runtime validation for data ingestion, ensuring complex data structures are type-safe and automatically inferred in TypeScript.