zod-validation

Validate and shape API and form input using Zod schemas with safeParse().

Updated Apr 5, 2023
One-click install
npx skills add https://github.com/fcalell/dotfiles --skill zod-validation-fcalell
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod-validation
Source: https://github.com/fcalell/dotfiles/tree/main/dot_claude/skills/zod-validation
Command: npx skills add https://github.com/fcalell/dotfiles --skill zod-validation-fcalell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Zod Validation provides a clear, reliable approach to validating and shaping data for APIs and forms, preventing invalid input from propagating and reducing runtime errors.

Core Features & Use Cases

  • Centralized schema definitions with zod for strings, numbers, booleans, enums, and objects.
  • Safe parsing strategy using safeParse() to avoid thrown exceptions in UI and API handlers.
  • Reusable composition of schemas to build scalable validators across complex data models.

Quick Start

Define a Zod schema for your form input and validate it with safeParse() to handle errors gracefully.

Frequently Asked Questions about zod-validation

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

FAQPage Schema
How do I validate API input in TypeScript without throwing exceptions?

TypeScript API input validation can be handled gracefully using Zod schemas and the safeParse() method, which checks data integrity and returns structured errors instead of throwing runtime exceptions.

What is the best way to validate form input with Zod schemas?

Zod schema validation for form input involves defining centralized schemas for strings, numbers, and booleans, then shaping data to prevent invalid form fields from propagating and reducing runtime errors.

Can I compose multiple Zod schemas for complex data models?

Zod supports reusable composition of schemas, allowing you to build scalable validators across complex data models by combining multiple object, enum, and primitive type definitions for strict type checks.

Do I need the Zod library to implement safeParse validation?

Yes, the Zod library is required to implement safeParse() validation strategies, enabling graceful error handling in UI and API handlers without relying on thrown exceptions for invalid data.

How to handle clear error messages during API data validation?

Clear error messages during API data validation are generated by defining Zod schemas with strict type checks and using safeParse() to capture and return meaningful parsing failures to the API handler.