zod

Validate runtime data in TypeScript projects using Zod schemas.

Updated Feb 7, 2026

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

Ready to run

npx skills add https://github.com/adacosdev/plan-eat --skill zod-adacosdev

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Zod schema validation provides a robust, type-safe boundary for data by enforcing shapes and constraints at runtime, reducing runtime errors and enabling precise error reporting.

Core Features & Use Cases

Define schemas with z.object, z.string validations, and z.number constraints to validate and parse input.
Choose between parse() and safeParse() to control error handling and ensure typed outputs, with z.infer deriving TypeScript types.
Compose complex schemas using extend, intersection, discriminated unions, and z.lazy for scalable API contracts.

Quick Start

Validate a sample payload against a Zod schema to see typed results and validation errors.

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 in TypeScript to ensure type safety?▼

Validate runtime data in TypeScript by defining Zod schemas with z.object and z.string constraints, then parsing inputs to enforce shapes and reduce runtime errors. This approach provides a type-safe boundary for data across API boundaries and form validation.

What's the best way to handle parsing errors when validating schema constraints?▼

Handle parsing errors by choosing between parse() and safeParse() to control error handling and ensure typed outputs. Using safeParse allows you to manage invalid data gracefully without throwing exceptions, enabling precise error reporting.

How do I derive TypeScript types from my Zod schema definitions?▼

Derive TypeScript types from Zod schema definitions by using z.infer to automatically generate matching interfaces. This ensures your static types stay synchronized with your runtime validation rules without manual interface maintenance.

Can I compose complex schemas for scalable API contracts in TypeScript?▼

Compose complex schemas for scalable API contracts by using extend, intersection, discriminated unions, and z.lazy. These methods allow you to build nested, conditional, and reusable validation structures for data ingestion workflows.

When do I need schema validation for data ingestion workflows?▼

You need schema validation for data ingestion workflows when processing untrusted external payloads to prevent malformed data from corrupting your system. Applying Zod schemas at API boundaries ensures only structurally valid data enters your application logic.