zod-validation-utilities

Validate and coerce runtime data into typed TypeScript values with Zod v4.

Updated May 17, 2026
One-click install
npx skills add https://github.com/cenjie/skills --skill zod-validation-utilities
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod-validation-utilities
Source: https://github.com/cenjie/skills/tree/main/skills/zod-validation-utilities
Command: npx skills add https://github.com/cenjie/skills --skill zod-validation-utilities

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Validating and transforming untrusted runtime input into safe, strongly typed values is error-prone and repetitive; this Skill provides production-ready Zod v4 patterns to centralize validation, coercion, and predictable error handling so services can operate on verified data with full TypeScript inference.

Core Features & Use Cases

  • Reusable Zod v4 Schemas: Share small utilities like id, email, pagination, and date schemas to reduce duplication across handlers and services.
  • Coercion and Transformation: Use z.coerce.*, preprocess, and transforms to normalize incoming strings, numbers, and dates at boundaries.
  • Robust Error Handling: Prefer safeParse workflows, format ZodError outputs, and use refine/superRefine for cross-field invariants and custom issues.
  • Advanced Patterns: Support discriminated unions, recursive structures, async validations (database checks), pipeline schemas, and React Hook Form integration via zodResolver.

Quick Start

Define a Zod v4 schema at your API boundary and call safeParse to validate and coerce incoming data before using it in your application.

Frequently Asked Questions about zod-validation-utilities

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

FAQPage Schema
How do I validate untrusted API input using Zod safeParse in TypeScript?

To validate untrusted API input, define a Zod v4 schema at your boundary and apply safeParse workflows to coerce incoming data into strongly typed TypeScript values. This process catches runtime errors predictably before services operate on the data.

Can I use Zod coercion to normalize string and date inputs at service boundaries?

Yes, you can use Zod coercion to normalize string and date inputs. By applying z.coerce.*, preprocess, and transforms, you can convert incoming untrusted runtime data into normalized, strongly typed values at service boundaries.

What is the best way to handle cross-field validation and custom errors in Zod?

The best way to handle cross-field validation is using Zod's refine and superRefine checks. These allow you to enforce cross-field invariants and generate custom issues within your ZodError output for predictable error formatting.

Does Zod validation work with React Hook Form for type-safe form inputs?

Zod validation works seamlessly with React Hook Form for type-safe form inputs. You can integrate schemas using zodResolver to parse and enforce form inputs at service boundaries while maintaining full TypeScript inference.

How do I perform async validation for database checks using Zod schemas?

You can perform async validation for database checks by defining async Zod schemas. This allows you to verify untrusted runtime data against external databases during the safeParse workflow, ensuring data integrity before processing.