zod

Validate data structures with Zod schemas for TypeScript and JavaScript.

4|Updated Jan 15, 2026

Search Tags:#typescript #validation #data integrity #schema #zod #runtime validation

Ready to run

npx skills add https://github.com/mgd34msu/goodvibes-gemini --skill zod-mgd34msu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/mgd34msu/goodvibes-gemini/tree/main/skills/zod
Command: npx skills add https://github.com/mgd34msu/goodvibes-gemini --skill zod-mgd34msu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides robust data validation for your applications, ensuring data integrity and preventing runtime errors by defining clear schemas.

Core Features & Use Cases

Type Safety: Define schemas that infer TypeScript types, ensuring consistency between your data and your types.
Data Validation: Validate API inputs, form data, environment variables, and any other runtime data against your defined schemas.
Error Handling: Provides detailed error messages for validation failures, making debugging easier.
Transformations & Coercion: Automatically transform or coerce data types as needed (e.g., string to number).
Use Case: When receiving user registration data, use Zod to validate that the email is in a correct format, the password meets complexity requirements, and the age is within a valid range before processing the request.

Quick Start

Use the zod skill to define a UserSchema and validate a user object.

Frequently Asked Questions about zod

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

FAQPage Schema

How do I validate API payloads and ensure type safety in TypeScript?▼

You can validate API payloads by defining Zod schemas that infer TypeScript types, ensuring runtime validation and static type consistency for application inputs.

What is the best way to validate environment variables and configuration files at runtime?▼

Runtime validation of configuration files is achieved by checking data against defined schemas, which provides detailed error reporting and prevents invalid data from causing runtime errors.

How do I coerce string inputs to numbers during data validation?▼

Schema validation supports data transformations and coercion, allowing you to automatically convert data types such as strings to numbers during the validation process.

Can I use schema validation for complex user registration data like emails and passwords?▼

Yes, schema validation can verify that user registration data meets specific format and complexity requirements for emails and passwords before processing the request.

Why do I need runtime validation if I already use TypeScript?▼

TypeScript checks types at compile time, but runtime validation with schemas ensures data integrity for external inputs like API payloads and form data that arrive at runtime.

What are the limitations of relying on schema validation for data integrity?▼

Schema validation ensures data structure and type correctness, but developers must still handle validation failures using the provided detailed error messages to prevent processing invalid data.