zod

Validate runtime data against TypeScript-first schemas with type inference.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/gil00pita/lanify --skill zod-gil00pita
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/gil00pita/lanify/tree/main/.agents/skills/zod
Command: npx skills add https://github.com/gil00pita/lanify --skill zod-gil00pita

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validate runtime data against robust TypeScript-first schemas to enforce structure and catch errors early.

Core Features & Use Cases

  • Type inference: automatically infer TypeScript types from schemas to keep code typesafe.
  • Transformations and preprocessing: apply value transformations and validation rules during parsing.
  • Form and API integration: validate inputs from APIs, forms, and environment variables with clear errors.

Quick Start

Install zod and start defining schemas to validate data in your application.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I validate runtime data in TypeScript web apps?

Validate runtime data in TypeScript web apps by defining schemas that parse and enforce data structure. This approach catches errors early, automatically infers TypeScript types for type safety, and handles transformations during parsing.

Can I infer TypeScript types automatically from validation schemas?

Yes, you can infer TypeScript types automatically from validation schemas. This type inference feature keeps your code typesafe by deriving static types directly from the runtime schema definitions without manual duplication.

Does zod schema validation work for API inputs and form data?

Yes, zod schema validation works for API inputs and form data. It validates these inputs with clear errors, supports seamless form integration, and also handles environment variables needing strong typing.

How do I apply value transformations during data parsing?

Apply value transformations during data parsing by using preprocessing and validation rules within your schema definitions. This transforms and validates the incoming data simultaneously as it is parsed.

What is the best way to validate environment variables with strong typing?

The best way to validate environment variables with strong typing is using TypeScript-first schemas. This method enforces structure, catches invalid configurations early, and infers types automatically for your environment data.