zod

Validate runtime data with TypeScript-first schemas and inferred types.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/asonnleitner/filipsbarbershop --skill zod-asonnleitner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/asonnleitner/filipsbarbershop/tree/main/.claude/skills/zod
Command: npx skills add https://github.com/asonnleitner/filipsbarbershop --skill zod-asonnleitner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of ensuring data integrity and type safety in your applications by providing robust runtime validation and static type inference. It prevents common bugs related to unexpected data shapes and types.

Core Features & Use Cases

  • Schema Definition: Define clear, declarative schemas for any data structure.
  • Runtime Validation: Automatically validate incoming data against your schemas.
  • Type Inference: Generate precise TypeScript types directly from your schemas.
  • Use Case: Validate API request bodies, ensure environment variables are correctly configured, or parse complex configuration files with confidence.

Quick Start

Use the zod skill to validate the attached JSON object against the UserSchema.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I validate API request bodies and environment variables in TypeScript?

Validate API request bodies and environment variables in TypeScript by defining declarative schemas that automatically check incoming data at runtime and infer static types. This ensures data integrity and prevents shape-related bugs.

What is the best way to generate TypeScript types directly from validation schemas?

Generate TypeScript types directly from validation schemas by defining your data structure declaratively, which yields precise static type inference alongside robust runtime validation for complex configuration files and API responses.

How do I parse and validate complex JSON objects at runtime in a TypeScript application?

Parse and validate complex JSON objects at runtime by defining a schema that strictly checks the data structure, ensuring unexpected or missing fields trigger clear error handling before the data enters your application logic.

Does schema validation work for both form data validation and JSON schema generation?

Schema validation works for both form data validation and JSON schema generation by allowing you to define a single declarative schema that handles runtime type checking, error handling, and structural schema export.

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

You need runtime validation because static TypeScript types are erased at compile time and cannot verify incoming API payloads, form data, or environment variables, leaving your application vulnerable to unexpected data shapes.

What causes type inference problems when validating external data in TypeScript?

Type inference problems occur when external data is parsed without a schema, forcing TypeScript to assign generic types that do not reflect the actual runtime structure, which declarative schema validation solves by inferring precise types.