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Ikki-Group
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zod

Validate runtime data with Zod schemas while inferring TypeScript types.

Updated Jan 24, 2026
Search Tags:#typescript#validation#schema#zod#type-safety#json-schema#runtime-validation
One-click install
npx skills add https://github.com/Ikki-Group/erp --skill zod-ikki-group
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/Ikki-Group/erp/tree/main/.agents/skills/zod
Command: npx skills add https://github.com/Ikki-Group/erp --skill zod-ikki-group

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Zod enables runtime validation of data against defined schemas while seamlessly inferring TypeScript types, improving safety and developer productivity with minimal setup.

Core Features & Use Cases

  • Runtime data validation for API requests/responses, forms, env vars, and configs
  • Type inference for strongly typed client/server code and JSON Schema generation
  • Rich error handling options, validation metadata, and ecosystem integrations across TypeScript apps

Quick Start

Install and start validating input data at runtime while leveraging TypeScript type inference.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I validate API inputs and responses at runtime with TypeScript type inference?▼

Runtime validation of API inputs and responses uses defined schemas to check data while automatically inferring TypeScript types, ensuring type safety across server and client code with minimal setup.

Can I generate JSON Schema from TypeScript types for runtime data validation?▼

Yes, generating JSON Schema from TypeScript types is supported by defining validation schemas that infer types and output JSON Schema, enabling consistent runtime validation across data pipelines and client apps.

What is the best way to validate form data and environment variables in a TypeScript app?▼

Validating form data and environment variables in TypeScript apps is best handled by applying runtime schemas that validate data structures and infer types, preventing invalid configurations from reaching production.

Does runtime validation work with custom error handling and metadata for API requests?▼

Runtime validation supports rich error handling options and validation metadata for API requests, allowing developers to customize error messages and attach metadata to schemas for detailed validation feedback.

How do I ensure type safety when validating external JSON data in a data pipeline?▼

Ensuring type safety when validating external JSON data in a data pipeline involves applying schemas that validate the JSON structure at runtime while inferring TypeScript types for safe downstream processing.

Why do I need runtime validation when I already use TypeScript static types?▼

Runtime validation is needed alongside TypeScript static types because static checks do not cover external JSON inputs, API responses, or form data at runtime, where schemas validate actual data and prevent type mismatches.

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