zod

Name: zod
Availability: InStock
Author: zanaroot

Define and apply Zod schemas for runtime type safety in TypeScript.

2|Updated Jan 27, 2026

Search Tags:#typescript #validation #zod #parsing #type-safety #error-handling #schemas

Ready to run

npx skills add https://github.com/zanaroot/znr-collabill --skill zod-zanaroot

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/zanaroot/znr-collabill/tree/main/.ai/skills/zod
Command: npx skills add https://github.com/zanaroot/znr-collabill --skill zod-zanaroot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Zod provides a structured, runtime-validated schema layer for TypeScript, preventing invalid data from entering your app and ensuring runtime data aligns with compile-time types.

Core Features & Use Cases

Validation for primitive and complex schemas (strings, numbers, objects, unions, discriminated unions) with precise error reporting.
Safe parsing with safeParse, custom refinements (refine/superRefine), and type inference via z.infer to keep code robust and maintainable.
Clear guidance for API boundaries, form validation, data normalization, and schema composition across server and client contexts.

Quick Start

Explain and apply Zod validation best practices to enforce type safety at runtime across TypeScript projects.

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 to match TypeScript types?▼

TypeScript validation enforces runtime data alignment with compile-time types by defining schemas and parsing data through them. This structured layer prevents invalid data from entering your application boundaries.

How do I define complex object schemas and parse data safely?▼

Schema definition allows you to construct complex objects, unions, and primitives, while safe parsing validates data without throwing exceptions. This returns structured error reporting instead of crashing your application.

Can I use custom refinements to handle complex validation logic?▼

Custom refinements allow you to apply advanced validation logic beyond standard schema rules, enabling precise error handling for complex data structures. You can implement custom checks to enforce specific business constraints.

What is the best way to handle error reporting for API boundaries?▼

Handling error reporting for API boundaries involves applying structured schema parsing to incoming requests, which captures and formats detailed validation errors. This ensures invalid data is rejected clearly at server and client entry points.

How do I compose multiple schemas for data normalization?▼

Schema composition combines multiple primitive and complex schemas to validate and normalize structured data across server and client contexts. This approach ensures consistent data transformation and validation throughout your application.