zod

Validate TypeScript data with runtime schemas and static type inference.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/promptlylabs/skills --skill zod-promptlylabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/promptlylabs/skills/tree/main/plugins/promptly-skills/skills/zod
Command: npx skills add https://github.com/promptlylabs/skills --skill zod-promptlylabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

TypeScript-first schema validation library with static type inference, enabling developers to define schemas once and automatically obtain both runtime validation and compile-time type safety.

Core Features & Use Cases

  • Strong TypeScript integration with z.infer and z.input/output typings
  • Rich validator primitives and combinators: objects, arrays, unions, discriminated unions, refinements, preprocess, and transforms
  • Async validation, error handling, and custom error mapping
  • Ready-made integrations with React Hook Form, tRPC, and Next.js API routes
  • Use cases include form validation, API payload validation, environment/config validation, and data normalization

Quick Start

Define a schema using zod's object API and validate data with parse or safeParse.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I get runtime validation and static type inference in TypeScript without defining types twice?

TypeScript runtime validation with static type inference allows you to define a schema once and automatically obtain both runtime checks and compile-time type safety. Using z.infer, the single schema definition outputs static types, eliminating duplicate type declarations.

What is the best way to validate API payloads and form data in full-stack TypeScript development?

Validating API payloads and form data in full-stack TypeScript development is handled through schema definitions applied to incoming requests. The schema supports primitives, objects, arrays, and unions, integrating directly with React Hook Form and Next.js API routes for robust payload validation.

Can I use async validation for complex checks like database lookups in TypeScript schemas?

Async validation for complex checks like database lookups is fully supported in TypeScript schemas. You can apply asynchronous checks and refinements to validate data that requires external verification, ensuring data integrity before processing form submissions or API requests.

How do I handle environment configuration validation in a TypeScript application?

Environment configuration validation in a TypeScript application is achieved by defining a schema for your environment variables and parsing the process environment object. This ensures runtime validation of configurations, providing type-safe access to environment variables and preventing startup failures from invalid config data.

Does TypeScript schema validation support error mapping and data normalization transforms?

TypeScript schema validation supports custom error mapping and data normalization transforms. You can preprocess incoming data, apply transforms to normalize formats, and map validation errors to custom messages, ensuring clean, structured data output and precise error handling.

When should I use discriminated unions over standard unions for TypeScript data validation?

Discriminated unions should be used over standard unions for TypeScript data validation when handling objects with a shared literal property. They provide better type narrowing and more precise static type inference during runtime validation, which is ideal for complex API payloads with multiple object shapes.