One-click install
npx skills add https://github.com/fellipeutaka/denji --skill zod-fellipeutaka
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/fellipeutaka/denji/tree/main/.agents/skills/zod
Command: npx skills add https://github.com/fellipeutaka/denji --skill zod-fellipeutaka

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Validates complex data structures in TypeScript projects, reducing runtime errors.

Core Features & Use Cases

  • Schema validation: Define validation rules for data types such as strings, numbers, objects, and arrays.
  • Type inference: Generate static TypeScript types from validation schemas for safer code.
  • Use Case: Use Zod to validate API request payloads and ensure data integrity before processing.

Quick Start

Use the zod skill to validate an API payload with name as string and age as number.

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 payloads in TypeScript to ensure data integrity?

Validate API request payloads in TypeScript by defining validation schemas for data types like strings and numbers. This ensures data integrity before processing and reduces runtime errors by catching invalid inputs early.

What is TypeScript-first schema validation with type inference?

TypeScript-first schema validation with type inference is a technique that generates static TypeScript types directly from validation schemas. This approach ensures type safety and runtime validation simultaneously for web application data inputs.

Can I validate complex data structures using objects, unions, and refinements?

Yes, you can validate complex data structures using a comprehensive API that supports primitives, objects, unions, and refinements. This meets enterprise-grade validation needs for handling nested and conditional data formats.

Does schema validation work for form handling and API development workflows?

Schema validation works for form handling and API development workflows by ensuring type safety and runtime validation across web applications. It validates data inputs for both interactive forms and server-side API payloads.

What's the best way to reduce runtime errors in TypeScript data validation?

The best way to reduce runtime errors in TypeScript data validation is to use schema validation with strong type inference. This generates static types from validation rules, ensuring type safety and data integrity across your libraries.