zod

Define TypeScript schemas for runtime validation and static type inference.

Updated Feb 18, 2026
One-click install
npx skills add https://github.com/ShaulLavo/ellie --skill zod-shaullavo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/ShaulLavo/ellie/tree/main/.agents/skills/zod
Command: npx skills add https://github.com/ShaulLavo/ellie --skill zod-shaullavo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of ensuring data integrity and type safety in TypeScript applications by providing robust runtime validation for complex data structures.

Core Features & Use Cases

  • Schema Definition: Define schemas for primitives, objects, arrays, unions, and more.
  • Type Inference: Automatically infer TypeScript types from your schemas.
  • Runtime Validation: Validate data against defined schemas, catching errors early.
  • Data Transformation: Modify data during parsing using .transform() or .pipe().
  • Error Handling: Generate detailed error reports for debugging and UI feedback.
  • Use Case: Validate incoming API request bodies, ensure environment variables are correctly configured, or enforce data structure consistency across your application.

Quick Start

Use the zod skill to define a schema for a user object with a string name and a positive integer age.

Frequently Asked Questions about zod

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

FAQPage Schema
How do I enforce type safety and runtime validation for API request bodies in TypeScript?

Type safety and runtime validation for API request bodies are enforced by defining TypeScript-first schemas that validate incoming data structures and automatically infer static types, catching data integrity errors early.

What is TypeScript-first schema validation and how does it handle complex data structures?

TypeScript-first schema validation is a mechanism that declares schemas for primitives, objects, arrays, and unions, validating complex data structures at runtime while automatically inferring static TypeScript types.

Can I transform data during parsing while enforcing schema validation?

Data transformation during parsing is supported using `.transform()` or `.pipe()` methods, allowing you to modify and validate data structures simultaneously while maintaining strict type inference.

How does schema validation handle error reporting for debugging and UI feedback?

Schema validation handles error reporting by generating detailed error reports during runtime validation, providing specific debugging information and UI feedback for data structures that fail defined constraints.

Do I need additional dependencies to validate environment variables with this schema validation approach?

No additional dependencies are required to validate environment variables, as this schema validation approach operates independently to ensure environment variables are correctly configured and match defined data structures.