type-safe-form-validation

Validate forms and API payloads with Zod schemas in TypeScript projects.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/HuuBar/skill-routing-experiment --skill type-safe-form-validation-huubar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: type-safe-form-validation
Source: https://github.com/HuuBar/skill-routing-experiment/tree/main/unified_skills/vishal/type-safe-form-validation
Command: npx skills add https://github.com/HuuBar/skill-routing-experiment --skill type-safe-form-validation-huubar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

People struggle to keep client-side forms and API payloads consistently validated across the stack. This guide provides a scalable pattern for type-safe form validation and API validation using Zod.

Core Features & Use Cases

  • Single Source of Truth - Define and reuse validation schemas across client and server.
  • Type Inference - Generate TypeScript types directly from schemas for zero-typing errors.
  • Runtime Validation - Validate data at runtime before processing or persisting.
  • Composable Schemas - Build complex validations by composing small, reusable parts.
  • Error Formatting - Produce user-friendly, actionable error messages for UI.
  • API Integration - Validate requests and responses in API routes and handlers.

Quick Start

Define your Zod schemas in lib/validation.ts, export the inferred types, and wire the forms to UI and API calls.

Frequently Asked Questions about type-safe-form-validation

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

FAQPage Schema
How do I build type-safe form validation in TypeScript?

Type-safe API validation uses Zod to validate incoming payloads at runtime before processing, ensuring data integrity across server handlers. Compose small, reusable schema parts to build complex nested data structure validations for API routes.

How does Zod runtime validation work with react-hook-form?

Zod runtime validation integrates with react-hook-form by checking form data against defined schemas before processing, generating user-friendly error messages for the UI. This ensures client-side forms only submit data that matches the inferred TypeScript types.

What is the best way to share validation schemas between client and server?

The best way to share validation schemas is defining them once in a shared module and exporting the inferred TypeScript types. This creates a single source of truth for runtime validation across both client-side forms and server API routes without duplicating logic.

Can I compose complex nested data structures for API validation in TypeScript?

You can compose complex API validation logic by building nested data structures from small, reusable Zod schema parts. This composable schema pattern allows you to validate intricate API payloads while maintaining automatic TypeScript type inference.

Does type inference with Zod eliminate manual typing errors in form validation?

Type inference with Zod eliminates manual typing errors by generating TypeScript types directly from your validation schemas. This ensures your form validation logic and inferred types stay synchronized automatically, preventing runtime mismatches.