zod

Define TypeScript schemas and validate runtime data against them.

68|19|Updated Nov 21, 2025
One-click install
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill zod-bobmatnyc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/bobmatnyc/claude-mpm-skills/tree/main/toolchains/typescript/validation/zod
Command: npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill zod-bobmatnyc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides robust, type-safe validation for your data in TypeScript applications, ensuring data integrity at runtime and improving developer confidence.

Core Features & Use Cases

  • Schema Definition: Define data structures with static type inference.
  • Runtime Validation: Validate incoming data against your defined schemas.
  • Type Safety: Automatically infer TypeScript types from your schemas.
  • Use Case: Validate API request bodies, form inputs, or environment variables to prevent unexpected errors and ensure data conforms to expected formats.

Quick Start

Use the zod skill to define a schema for a user object with name and email, then validate a given data object against it.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I validate API request bodies in TypeScript at runtime?

You can validate API request bodies by defining declarative schemas that parse incoming data and verify runtime data integrity. This ensures dynamic data conforms to expected formats before processing.

Can I automatically generate TypeScript types from my data validation schemas?

Yes, you can automatically infer static TypeScript types directly from your defined validation schemas. This mechanism provides compile-time type safety by deriving static types from your dynamic data structures.

What is the best way to ensure type-safe data parsing for form inputs in TypeScript?

Type-safe data parsing for form inputs is achieved by defining declarative schemas that validate incoming data at runtime. This prevents unexpected errors by ensuring form data conforms to expected formats.

When do I need runtime data verification in a TypeScript application?

You need runtime data verification when handling dynamic inputs like API request bodies, form submissions, or environment variables. It ensures data integrity by validating that incoming data matches your expected schemas.

Do I need external dependencies to use schema definitions for input validation in TypeScript?

No external dependencies are required to use schema definitions for input validation in TypeScript. The skill operates independently to define data structures and perform type-safe runtime validation.