zod

Build and apply Zod schemas for TypeScript data validation and type safety.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/prasunTimalsina/Aereth --skill zod-prasuntimalsina
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/prasunTimalsina/Aereth/tree/main/.agents/skills/zod
Command: npx skills add https://github.com/prasunTimalsina/Aereth --skill zod-prasuntimalsina

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Zod provides a TypeScript-first schema declaration and validation library, helping developers catch invalid input at the boundary and guarantee type-safe data throughout the application.

Core Features & Use Cases

  • Schema Definition: define precise shapes with string, number, boolean, date, enums, unions, and more.
  • Parsing & Validation: safeParse, parseAsync, and robust error handling to collect all issues and surface actionable messages.
  • Type Inference & Safety: generate TypeScript types from schemas via z.infer and enforce strict typing across layers.
  • Error Handling & UX: customize error messages, internationalization, and path-based error reporting for forms.
  • Performance & Composition: compose schemas, cache instances, and leverage mini builds for bundle-sensitive apps.
  • Transforms & Coercion: differentiate between preprocess, transform, and coerce workflows for clean data pipelines.

Quick Start

Ask for a quick start by providing a small input and I will generate a Zod schema and validate it, returning typed results.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I validate data and ensure type safety in TypeScript?

TypeScript data validation guarantees type-safe data by defining schemas with primitives, parsing inputs with safeParse, and inferring types to enforce strict data contracts across application boundaries.

How do I handle parsing errors and collect actionable validation messages?

Error handling collects all validation issues and surfaces actionable, path-based messages. You can customize error messages and implement internationalization to improve form UX and precise data reporting.

What is the best way to generate TypeScript types from validation schemas?

Generating TypeScript types from validation schemas uses type inference to enforce strict typing across layers, ensuring parsed data conforms to defined shapes like strings, numbers, booleans, dates, and unions.

How do I apply data transforms and coercion when parsing schemas?

Data coercion differentiates between preprocess, transform, and coerce workflows to clean data pipelines, allowing you to apply defaults and partial schemas before parsing inputs safely.

When should I use safeParse instead of parseAsync for schema validation?

Use safeParse for synchronous validation to avoid throwing exceptions on invalid data, and parseAsync for asynchronous parsing workflows, ensuring robust error handling and safe data contracts.