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name: zod-validation-patterns description: This skill provides comprehensive patterns for using Zod validation library in TypeScript applications. It ensures input validation is done correctly, securely, and consistently across the codebase.

Zod Validation Patterns Skill

Use this skill when: Working with user input validation, API request validation, form data validation, or data transformation in Quetrex.

Purpose

This skill provides comprehensive patterns for using Zod validation library in TypeScript applications. It ensures input validation is done correctly, securely, and consistently across the codebase.

What's Covered

1. Schema Patterns - Complete guide to all Zod schema types

   • Primitives (string, number, boolean, date)
   • Collections (array, object, map, set, record)
   • Advanced types (union, intersection, discriminated unions)
   • Optional/nullable patterns
   • Branded types and recursive schemas

2. Error Handling - Robust error management

   • Custom error messages
   • Internationalization (i18n)
   • Error formatting for UI display
   • Safe parsing patterns
   • Error recovery strategies

3. Refinements - Custom validation logic

   • Basic and chained refinements
   • Cross-field validation
   • Conditional validation
   • Business logic validation
   • File upload validation

4. Transforms - Data transformation and normalization

   • Type coercion
   • Data cleaning and normalization
   • Computed fields
   • Preprocessing patterns

5. Async Validation - Asynchronous validation patterns

   • Database uniqueness checks
   • API validations
   • Concurrent async validations
   • Error handling and timeouts

6. Type Inference - TypeScript type extraction

   • z.infer patterns
   • Input vs output types
   • Generic schema types
   • Discriminated union inference

7. API Integration - Next.js integration patterns

   • API routes validation
   • Server Actions validation
   • Form data and file uploads
   • Error response formatting

8. Common Schemas - Reusable schema library

   • Email, password, phone validation
   • URL, UUID, date schemas
   • Address, credit card validation
   • Username, slug, color schemas

Quick Start

Basic Usage

Copyimport { z } from 'zod'

// Define schema
const userSchema = z.object({
  email: z.string().email(),
  age: z.number().int().positive(),
  role: z.enum(['admin', 'user'])
})

// Parse data (throws on error)
const user = userSchema.parse(data)

// Safe parse (returns result object)
const result = userSchema.safeParse(data)
if (result.success) {
  console.log(result.data)
} else {
  console.error(result.error)
}

Type Inference

Copy// Extract TypeScript type from schema
type User = z.infer<typeof userSchema>
// { email: string; age: number; role: 'admin' | 'user' }

API Route Example

Copy// src/app/api/users/route.ts
import { NextRequest, NextResponse } from 'next/server'
import { z } from 'zod'

const createUserSchema = z.object({
  email: z.string().email(),
  password: z.string().min(8)
})

export async function POST(request: NextRequest) {
  const body = await request.json()

  const result = createUserSchema.safeParse(body)
  if (!result.success) {
    return NextResponse.json(
      { error: 'Validation failed', details: result.error.format() },
      { status: 400 }
    )
  }

  // Process validated data
  const { email, password } = result.data
  // ...
}

When to Use This Skill

DO Use for:

• API request validation - All incoming data to API routes
• Form submission validation - Client and server-side
• Database input validation - Before inserting/updating
• Configuration validation - Environment variables, config files
• File upload validation - Size, type, content validation
• External API responses - Validate third-party data

DON'T Use for:

• Simple type checks - Use TypeScript types when validation isn't needed
• Runtime performance-critical paths - Validation has overhead
• Already validated data - Don't re-validate trusted internal data

Best Practices

1. Validate at boundaries - API routes, Server Actions, external data sources
2. Use safe parsing - Prefer safeParse() over parse() for better error handling
3. Provide clear error messages - Customize messages for user-facing validation
4. Reuse common schemas - Use schemas from common-schemas.md
5. Type inference - Always use z.infer<typeof schema> for TypeScript types
6. Test edge cases - Write tests for validation logic
7. Document complex schemas - Add JSDoc comments for business rules

Common Patterns

1. Optional Fields with Defaults

Copyconst configSchema = z.object({
  timeout: z.number().int().positive().default(30),
  retries: z.number().int().min(0).default(3),
  debug: z.boolean().optional()
})

2. Conditional Required Fields

Copyconst addressSchema = z.object({
  country: z.string(),
  state: z.string().optional()
}).refine(
  data => data.country === 'US' ? !!data.state : true,
  { message: 'State is required for US addresses', path: ['state'] }
)

3. Transform and Validate

Copyconst emailSchema = z.string()
  .trim()
  .toLowerCase()
  .email()

4. Discriminated Unions

Copyconst eventSchema = z.discriminatedUnion('type', [
  z.object({ type: z.literal('click'), x: z.number(), y: z.number() }),
  z.object({ type: z.literal('keypress'), key: z.string() })
])

5. Async Database Check

Copyconst usernameSchema = z.string()
  .min(3)
  .max(20)
  .regex(/^[a-zA-Z0-9_-]+$/)
  .refine(async (username) => {
    const existing = await db.user.findUnique({ where: { username } })
    return !existing
  }, { message: 'Username already taken' })

Integration with Quetrex

TypeScript Strict Mode Compliance

All schemas must work with TypeScript strict mode:

• No any types
• No @ts-ignore comments
• Explicit type inference with z.infer

Testing Requirements

Validation logic requires comprehensive tests:

• Happy path - Valid data passes
• Edge cases - Boundary values, empty strings, null/undefined
• Error cases - Invalid data produces expected errors
• Custom validations - All refinements and transforms tested

Server Actions Pattern

Copy'use server'

import { z } from 'zod'

const createProjectSchema = z.object({
  name: z.string().min(1).max(100),
  description: z.string().optional()
})

export async function createProject(formData: FormData) {
  const result = createProjectSchema.safeParse({
    name: formData.get('name'),
    description: formData.get('description')
  })

  if (!result.success) {
    return { error: result.error.format() }
  }

  // Process validated data
  return { success: true, data: result.data }
}

Resources

• Zod Documentation: https://zod.dev/
• TypeScript Handbook: https://www.typescriptlang.org/docs/handbook/
• Next.js Server Actions: https://nextjs.org/docs/app/building-your-application/data-fetching/server-actions-and-mutations

Navigation

Start with:

1. Schema Patterns - Learn all schema types
2. Common Schemas - Use ready-made schemas
3. API Integration - Integrate with Next.js

Then explore:

• Error Handling - Better error messages
• Refinements - Custom validation logic
• Transforms - Data transformation
• Async Validation - Database/API checks
• Type Inference - Advanced TypeScript patterns

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Last updated: 2025-11-23 | Zod v4.1.12