zod

Define TypeScript schemas for runtime validation and static type inference.

5|3|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/mikkelkrogsholm/dev-skills --skill zod-mikkelkrogsholm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/mikkelkrogsholm/dev-skills/tree/main/zod
Command: npx skills add https://github.com/mikkelkrogsholm/dev-skills --skill zod-mikkelkrogsholm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies data validation and type safety in TypeScript applications by providing a single source of truth for both runtime checks and compile-time types.

Core Features & Use Cases

  • Schema Definition: Define data structures with built-in validation for common types and formats (email, URL, UUID, etc.).
  • Type Inference: Automatically generate TypeScript types directly from your schemas.
  • Data Transformation & Coercion: Effortlessly transform and coerce input data types.
  • Error Handling: Generate user-friendly error messages for validation failures.
  • Use Case: Ensure that user registration data submitted through a web form conforms to expected formats (e.g., valid email, password strength) and automatically derive the correct TypeScript types for use in your application logic.

Quick Start

Use the zod skill to define a schema for user profile data including name, email, and age.

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 data and get TypeScript types automatically?

Schema validation with type inference lets you define a single data structure that validates API requests at runtime and automatically generates TypeScript types for compile-time safety.

What is the best way to handle form input validation in TypeScript?

Form input validation is handled by defining schemas with built-in checks for formats like email and password strength, which then generate user-friendly error messages for validation failures and derive correct types.

Can I transform and coerce input data types during schema validation?

Data transformation and coercion allow you to effortlessly transform and coerce input data types directly within your schema definition, ensuring the parsed data matches the expected runtime structure.

How does schema validation handle invalid user registration data?

Schema validation handles invalid user registration data by checking submitted fields against expected formats and generating user-friendly error messages for any validation failures encountered.

Does schema validation work without external dependencies?

Schema validation operates without external dependencies, providing a unified schema definition that serves as a single source of truth for both runtime checks and compile-time types.

Why should I use schema validation instead of manual type checking?

Schema validation provides a single source of truth for data validation and type safety, eliminating the need to manually define separate runtime checks and compile-time TypeScript types.