zod

Validate input data against runtime Zod schemas with TypeScript inference.

204|30|Updated Nov 8, 2025

Search Tags:#typescript #validation #schema #zod #json-schema #runtime-validation

Ready to run

npx skills add https://github.com/secondsky/claude-skills --skill zod

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/secondsky/claude-skills/tree/main/plugins/zod/skills/zod
Command: npx skills add https://github.com/secondsky/claude-skills --skill zod

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires zod, and includes references (resource) components.

What problem does it solve?

Runtime data validation with strong TypeScript type inference, enabling safer APIs, forms, and data pipelines.

Core Features & Use Cases

Type-safe schemas with runtime validation
Parse, safeParse, and async variants for resilient parsing
JSON Schema generation for OpenAPI/AI use cases
Rich error handling and localization patterns
Advanced patterns: refinements, codecs, recursive types, and metadata

Quick Start

Install zod, define a schema with z.object({ ... }), and validate data with .parse() or .safeParse().

Frequently Asked Questions about zod

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

FAQPage Schema

How do I validate TypeScript data at runtime with strong type inference?▼

Runtime validation with TypeScript type inference uses schemas that define both parsing rules and compile-time types. Zod creates type-safe schemas with z.object(), z.string(), and other validators, then .parse() or .safeParse() validates input data while z.infer extracts the corresponding TypeScript type automatically.

Can I generate JSON Schema from my TypeScript schemas for OpenAPI or AI prompts?▼

JSON Schema export converts runtime schemas to OpenAPI-compatible formats. Zod's z.toJSONSchema() transforms your schema definitions into JSON Schema, enabling integration with OpenAPI documentation generators and AI prompt systems without manual schema duplication.

What's the difference between parse and safeParse for schema validation?▼

Parse throws an error on invalid data, halting execution immediately. SafeParse returns a result object indicating success or failure, allowing graceful error handling. Use parse when failure is exceptional; use safeParse for user input, API responses, and form data where validation errors are expected.

How do I handle validation errors and localization in runtime schemas?▼

Error handling and localization patterns extract detailed validation failures from safeParse results, map error codes to translated messages, and format user-friendly responses. Zod provides rich error objects with field paths and issue types, enabling custom error messages and multi-language support.

Does Zod support advanced patterns like recursive types and custom refinements?▼

Advanced patterns including recursive schemas, custom validation rules via .refine(), and metadata attachment enable complex domain logic. Zod supports composable refinements for cross-field validation, lazy type definitions for self-referential structures, and custom codecs for specialized parsing.