zod

Validate TypeScript data at runtime with Zod schemas.

Updated Oct 28, 2025
One-click install
npx skills add https://github.com/kaxuna1/ecomsite --skill zod-kaxuna1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/kaxuna1/ecomsite/tree/main/.claude/skills/zod
Command: npx skills add https://github.com/kaxuna1/ecomsite --skill zod-kaxuna1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Zod provides runtime validation and type inference for TypeScript, ensuring data entering your system matches defined schemas at runtime, not just in types.

Core Features & Use Cases

  • Schema-based validation with .parse() and .safeParse() to guarantee data correctness at API boundaries, forms, env vars, and localStorage.
  • Type inference via z.infer to derive TS types from schemas, and .transform()/.refine() for post-validation adjustments.
  • Use Case: Protect your API payloads by validating incoming requests, validating config values loaded from environment, and ensuring UI inputs conform before processing.

Quick Start

  • Install in frontend: npm i zod
  • Install in backend: npm i zod
  • Import and create schemas: import { z } from 'zod'; const UserSchema = z.object({ name: z.string(), age: z.number() }); const data = UserSchema.parse(input);

Frequently Asked Questions about zod

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

FAQPage Schema
How do I validate API payloads and environment variables at runtime in TypeScript?

Runtime validation for TypeScript APIs and environment variables is achieved by defining schemas and applying .parse() or .safeParse() to incoming data. This guarantees data correctness at system boundaries in real-time before processing.

Can I derive TypeScript types automatically from my validation schemas?

Yes, you can derive TypeScript types automatically from validation schemas using z.infer. This ensures your inferred types perfectly match your runtime validation rules without manual type definitions.

What is the best way to validate form inputs and localStorage data in frontend apps?

The best way to validate form inputs and localStorage data in frontend apps is schema-based validation. By defining object schemas, you can enforce data boundaries and check UI inputs conform before processing them.

How do I transform or refine data after validating it in TypeScript?

To transform or refine data after validating it in TypeScript, use .transform() and .refine methods. These allow post-validation adjustments and custom checks to ensure schema composition and robust error handling.

Does schema-based runtime validation work across both frontend and backend boundaries?

Yes, schema-based runtime validation works across both frontend and backend boundaries. You can install the validation library in either environment to consistently validate API payloads and configuration loading.