zod

Name: zod
Availability: InStock
Author: Pelith

Validate TypeScript inputs with Zod schemas using safeParse and z.infer.

Updated Feb 2, 2026

Search Tags:#typescript #validation #schema #zod #parsing

Ready to run

npx skills add https://github.com/pelith/Project-Remora-Frontend --skill zod-pelith

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: zod
Source: https://github.com/pelith/Project-Remora-Frontend/tree/main/.agents/skills/zod
Command: npx skills add https://github.com/pelith/Project-Remora-Frontend --skill zod-pelith

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Zod-based validation controls data quality and TypeScript typing across boundaries, preventing malformed inputs from propagating.

Core Features & Use Cases

Schema definition, parsing, and inference with z.object and z.infer
Robust error handling, safeParse usage, and cross-field refinements
Guidance on performance, composition, and common pitfalls

Quick Start

Define a simple schema with z.object and validate data using safeParse to get a typed result.

Frequently Asked Questions about zod

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

FAQPage Schema

How do I validate runtime inputs against TypeScript schemas?▼

Validate runtime inputs by defining z.object schemas and parsing data with safeParse to ensure type-safety. This approach prevents malformed data from propagating across boundaries while returning structured, performant error reports.

What is the best way to handle cross-field validation rules in TypeScript?▼

Cross-field validation in TypeScript is handled using schema composition and refinements within Zod. By defining dependencies between fields in a single schema, you enforce complex boundary rules and ensure data quality before processing.

How do I infer TypeScript types directly from my validation schemas?▼

Infer TypeScript types from validation schemas using z.infer. This automatically generates static types matching your z.object definitions, ensuring that your runtime parsing logic and compile-time types remain synchronized.

When should I use safeParse instead of standard parsing for data validation?▼

Use safeParse for data validation when you need robust error handling without throwing exceptions. It returns a typed result object containing success status and error details, allowing graceful management of malformed inputs.

Does Zod work with existing TypeScript projects to enforce boundary validation?▼

Zod works seamlessly with TypeScript projects to enforce boundary validation and control data quality. It applies schema parsing at system limits, preventing invalid external inputs from corrupting internal application state.

What are common pitfalls when composing multiple validation schemas?▼

Common pitfalls during schema composition include performance bottlenecks and improper error handling. Address these by following structured guidelines for parsing and cross-field refinements to maintain performant error reporting across complex schemas.