zod

Validate data against Zod schemas with TypeScript type inference.

1|Updated Oct 19, 2023
One-click install
npx skills add https://github.com/fyndx/coinx --skill zod-fyndx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/fyndx/coinx/tree/main/skills/zod
Command: npx skills add https://github.com/fyndx/coinx --skill zod-fyndx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides robust data validation and type safety for your applications, ensuring data integrity and preventing runtime errors caused by unexpected data formats.

Core Features & Use Cases

  • Schema Definition: Define clear, declarative schemas for your data structures using Zod.
  • Runtime Validation: Validate incoming data against your defined schemas, catching errors early.
  • Type Inference: Automatically infer TypeScript types from your Zod schemas for enhanced developer experience.
  • Use Case: Ensure that user registration data conforms to expected formats (e.g., valid email, age within range) before processing it.

Quick Start

Use the zod skill to validate the provided user data against the userSchema.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I validate API input data using TypeScript schemas?

You validate API input data using TypeScript schemas by defining declarative structures with Zod to enforce runtime checks and automatically infer types for data integrity. This catches unexpected formats early before processing.

How does runtime schema validation work for frontend form handling?

Runtime schema validation for frontend form handling works by checking incoming user data against defined Zod schemas to ensure values conform to expected formats before processing. This prevents runtime errors from unexpected data structures.

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

You can automatically infer TypeScript types from your data validation schemas by defining primitives, objects, arrays, enums, and unions using Zod. This integration enhances developer experience by ensuring type safety.

What's the best way to enforce data integrity in a data transformation pipeline?

The best way to enforce data integrity in a data transformation pipeline is applying schema validation via Zod to perform runtime checks on incoming data. This ensures all transformed data conforms to expected structural formats.

Do I need the Zod library to perform type-safe data validation?

You need the Zod library to perform type-safe data validation because this Skill requires Zod to define the primitives, objects, arrays, and transformations necessary for executing runtime checks and TypeScript type inference.