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Expert knowledge for runtime validation in TypeScript using ArkType, a syntax-first validation library with TypeScript-like definitions, JIT compilation for 10x-100x performance over Zod, native recursion support, morphs for data transformation, and Standard Schema compatibility

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SKILL.md

name arktype
description Expert knowledge for runtime validation in TypeScript using ArkType, a syntax-first validation library with TypeScript-like definitions, JIT compilation for 10x-100x performance over Zod, native recursion support, morphs for data transformation, and Standard Schema compatibility
last_updated Sat Dec 20 2025 00:00:00 GMT+0000 (Coordinated Universal Time)
hash 59e7d3a3f7777de4

ArkType

ArkType is a runtime validation library for TypeScript that uses a syntax-first approach—definitions look exactly like TypeScript code. Unlike builder-pattern libraries (Zod, Yup), ArkType JIT-compiles schemas into optimized validators, achieving 10x-100x performance improvements.

Core Principles

  • Write TypeScript syntax, not builder chains - "string >= 8" instead of .string().min(8)
  • Zero drift between static and runtime types - Automatic type inference from definitions
  • JIT compilation for performance - Schemas compile to optimized JavaScript functions
  • Native recursion support - Use Scopes for circular references without lazy() wrappers
  • Transform during validation - Morphs allow data transformation in the validation pipeline
  • Standard Schema compliant - Works with React Hook Form, TanStack Query, tRPC, and other modern libraries
  • Type-level performance matters - Track both runtime speed AND TypeScript compiler instantiations
  • String definitions for simple types - Use type("string") for primitives
  • Object definitions for structures - Use type({ name: "string" }) for objects
  • Scopes for complex models - Use scope({ ... }) for interconnected types

Quick Reference

Basic Validation

import { type } from "arktype"

// Simple types
const email = type("string.email")
const age = type("number >= 18")
const tags = type("string[]")

// Object schemas
const user = type({
    name: "string",
    age: "number >= 18",
    "email?": "string.email",  // Optional field
    tags: "string[]"
})

// Validation
const { data, errors } = user({
    name: "Alice",
    age: 25,
    tags: ["typescript"]
})

if (errors) {
    console.error(errors.summary)
} else {
    console.log(data.name) // Fully typed
}

Type Inference

// Infer TypeScript type from ArkType definition
const userSchema = type({ name: "string", age: "number" })
type User = typeof userSchema.infer
// User = { name: string; age: number }

Topics

Core Concepts

  • Scopes and Recursion - Circular references and interconnected types
  • Generics - Type functions for reusable schemas (e.g., Paginated<T>)
  • Morphs - Transform data during validation (string to Date, trimming, etc.)
  • Pattern Matching - Type-safe switch statements with .match()

Advanced Features

Performance and Migration

Common Patterns

Discriminated Unions (Automatic)

// ArkType detects discriminants automatically
const response = type([
    { status: "'success'", data: "string" },
    "|",
    { status: "'error'", message: "string" }
])

Constraints with Intersection

// Email from specific domain
const staffEmail = type("string.email & /.*@company.com/")

// Even numbers under 100
const evenUnder100 = type("number % 2 & < 100")

Data Transformation

// Convert string to Date during validation
const dateSchema = type("string").morph((s) => new Date(s))

// Sanitize user input
const username = type("string > 0").morph(s => s.trim().toLowerCase())

ArkType vs Zod

Feature ArkType Zod
Syntax "string >= 5" z.string().min(5)
Performance JIT-compiled (10x-100x faster) Interpreted
Recursion Native via Scopes Requires z.lazy()
Inference typeof schema.infer z.infer<typeof schema>
Bundle Size ~40kB (zero deps) ~13kB (zero deps)

When to Use ArkType

  • High-throughput APIs - Performance critical validation (10k+ items)
  • Complex domain models - Recursive data structures (folder trees, graphs)
  • TypeScript-first teams - Prefer type syntax over builder patterns
  • Standard Schema adoption - Need library compatibility
  • Type-level optimization - Avoid "excessively deep instantiation" errors

Resources