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TypeScript Advanced Types

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Master TypeScript's advanced type system for type-safe applications.

by wshobson38.7k stars on wshobson/agents
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Updated Jul 18, 2026
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What TypeScript Advanced Types does

TypeScript's advanced type system offers powerful tools for developers looking to build robust and type-safe applications. This skill provides a comprehensive guide to mastering key concepts such as generics, conditional types, mapped types, template literal types, and utility types. By leveraging these advanced features, developers can create reusable components, implement complex type logic, and ensure compile-time type safety, which is essential for maintaining large codebases and enhancing code quality.

The skill is particularly useful for those involved in building type-safe libraries, frameworks, or API clients. It helps developers understand how to utilize generics to create flexible components while maintaining strict type safety. Additionally, the skill covers conditional types that allow for sophisticated type inference, enabling developers to write more expressive and maintainable code. Mapped types further enhance this capability by allowing for the transformation of existing types, which is crucial for creating adaptable and reusable code structures.

Whether you are migrating a JavaScript codebase to TypeScript or designing a type-safe state management solution, this skill serves as a valuable resource. The provided examples illustrate practical applications of each concept, making it easier for developers to grasp and implement these advanced types in their projects. This skill is ideal for developers and designers who want to deepen their understanding of TypeScript and improve their coding practices by leveraging its advanced type system effectively.

When to use it

Use this skill when you need to build type-safe libraries, frameworks, or when implementing complex type inference logic in TypeScript applications.

When not to use it

This skill may not be suitable for beginners who are just starting with TypeScript or for projects that do not require advanced type safety features.

What you can build with it

Building a Type-Safe API Client

Use advanced types to ensure that your API client accurately reflects the types of the data it interacts with, reducing runtime errors.

Creating Reusable Generic Components

Leverage generics to build components that can handle various data types while maintaining type safety, enhancing code reusability.

Implementing Complex Type Inference Logic

Utilize conditional and mapped types to create sophisticated type inference mechanisms that adapt to your application's needs.

How to install TypeScript Advanced Types

View source

1. Install with the skills CLI

npx skills add wshobson/agents/typescript-advanced-types --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by wshobson

TypeScript Advanced Types

Comprehensive guidance for mastering TypeScript's advanced type system including generics, conditional types, mapped types, template literal types, and utility types for building robust, type-safe applications.

When to Use This Skill

  • Building type-safe libraries or frameworks
  • Creating reusable generic components
  • Implementing complex type inference logic
  • Designing type-safe API clients
  • Building form validation systems
  • Creating strongly-typed configuration objects
  • Implementing type-safe state management
  • Migrating JavaScript codebases to TypeScript

Core Concepts

1. Generics

Purpose: Create reusable, type-flexible components while maintaining type safety.

Basic Generic Function:

function identity<T>(value: T): T {
  return value;
}

const num = identity<number>(42); // Type: number
const str = identity<string>("hello"); // Type: string
const auto = identity(true); // Type inferred: boolean

Generic Constraints:

interface HasLength {
  length: number;
}

function logLength<T extends HasLength>(item: T): T {
  console.log(item.length);
  return item;
}

logLength("hello"); // OK: string has length
logLength([1, 2, 3]); // OK: array has length
logLength({ length: 10 }); // OK: object has length
// logLength(42);             // Error: number has no length

Multiple Type Parameters:

function merge<T, U>(obj1: T, obj2: U): T & U {
  return { ...obj1, ...obj2 };
}

const merged = merge({ name: "John" }, { age: 30 });
// Type: { name: string } & { age: number }

2. Conditional Types

Purpose: Create types that depend on conditions, enabling sophisticated type logic.

Basic Conditional Type:

type IsString<T> = T extends string ? true : false;

type A = IsString<string>; // true
type B = IsString<number>; // false

Extracting Return Types:

type ReturnType<T> = T extends (...args: any[]) => infer R ? R : never;

function getUser() {
  return { id: 1, name: "John" };
}

type User = ReturnType<typeof getUser>;
// Type: { id: number; name: string; }

Distributive Conditional Types:

type ToArray<T> = T extends any ? T[] : never;

type StrOrNumArray = ToArray<string | number>;
// Type: string[] | number[]

Nested Conditions:

type TypeName<T> = T extends string
  ? "string"
  : T extends number
    ? "number"
    : T extends boolean
      ? "boolean"
      : T extends undefined
        ? "undefined"
        : T extends Function
          ? "function"
          : "object";

type T1 = TypeName<string>; // "string"
type T2 = TypeName<() => void>; // "function"

3. Mapped Types

Purpose: Transform existing types by iterating over their properties.

Basic Mapped Type:

type Readonly<T> = {
  readonly [P in keyof T]: T[P];
};

interface User {
  id: number;
  name: string;
}

type ReadonlyUser = Readonly<User>;
// Type: { readonly id: number; readonly name: string; }

Optional Properties:

type Partial<T> = {
  [P in keyof T]?: T[P];
};

type PartialUser = Partial<User>;
// Type: { id?: number; name?: string; }

Key Remapping:

type Getters<T> = {
  [K in keyof T as `get${Capitalize<string & K>}`]: () => T[K];
};

interface Person {
  name: string;
  age: number;
}

type PersonGetters = Getters<Person>;
// Type: { getName: () => string; getAge: () => number; }

Filtering Properties:

type PickByType<T, U> = {
  [K in keyof T as T[K] extends U ? K : never]: T[K];
};

interface Mixed {
  id: number;
  name: string;
  age: number;
  active: boolean;
}

type OnlyNumbers = PickByType<Mixed, number>;
// Type: { id: number; age: number; }

4. Template Literal Types

Purpose: Create string-based types with pattern matching and transformation.

Basic Template Literal:

type EventName = "click" | "focus" | "blur";
type EventHandler = `on${Capitalize<EventName>}`;
// Type: "onClick" | "onFocus" | "onBlur"

String Manipulation:

type UppercaseGreeting = Uppercase<"hello">; // "HELLO"
type LowercaseGreeting = Lowercase<"HELLO">; // "hello"
type CapitalizedName = Capitalize<"john">; // "John"
type UncapitalizedName = Uncapitalize<"John">; // "john"

Path Building:

type Path<T> = T extends object
  ? {
      [K in keyof T]: K extends string ? `${K}` | `${K}.${Path<T[K]>}` : never;
    }[keyof T]
  : never;

interface Config {
  server: {
    host: string;
    port: number;
  };
  database: {
    url: string;
  };
}

type ConfigPath = Path<Config>;
// Type: "server" | "database" | "server.host" | "server.port" | "database.url"

5. Utility Types

Built-in Utility Types:

// Partial<T> - Make all properties optional
type PartialUser = Partial<User>;

// Required<T> - Make all properties required
type RequiredUser = Required<PartialUser>;

// Readonly<T> - Make all properties readonly
type ReadonlyUser = Readonly<User>;

// Pick<T, K> - Select specific properties
type UserName = Pick<User, "name" | "email">;

// Omit<T, K> - Remove specific properties
type UserWithoutPassword = Omit<User, "password">;

// Exclude<T, U> - Exclude types from union
type T1 = Exclude<"a" | "b" | "c", "a">; // "b" | "c"

// Extract<T, U> - Extract types from union
type T2 = Extract<"a" | "b" | "c", "a" | "b">; // "a" | "b"

// NonNullable<T> - Exclude null and undefined
type T3 = NonNullable<string | null | undefined>; // string

// Record<K, T> - Create object type with keys K and values T
type PageInfo = Record<"home" | "about", { title: string }>;

Detailed worked examples and patterns

Detailed sections (starting with ## Advanced Patterns) live in references/details.md. Read that file when the navigation summary above is insufficient.

Best Practices

  1. Use unknown over any: Enforce type checking
  2. Prefer interface for object shapes: Better error messages
  3. Use type for unions and complex types: More flexible
  4. Leverage type inference: Let TypeScript infer when possible
  5. Create helper types: Build reusable type utilities
  6. Use const assertions: Preserve literal types
  7. Avoid type assertions: Use type guards instead
  8. Document complex types: Add JSDoc comments
  9. Use strict mode: Enable all strict compiler options
  10. Test your types: Use type tests to verify type behavior

Type Testing

// Type assertion tests
type AssertEqual<T, U> = [T] extends [U]
  ? [U] extends [T]
    ? true
    : false
  : false;

type Test1 = AssertEqual<string, string>; // true
type Test2 = AssertEqual<string, number>; // false
type Test3 = AssertEqual<string | number, string>; // false

// Expect error helper
type ExpectError<T extends never> = T;

// Example usage
type ShouldError = ExpectError<AssertEqual<string, number>>;

Common Pitfalls

  1. Over-using any: Defeats the purpose of TypeScript
  2. Ignoring strict null checks: Can lead to runtime errors
  3. Too complex types: Can slow down compilation
  4. Not using discriminated unions: Misses type narrowing opportunities
  5. Forgetting readonly modifiers: Allows unintended mutations
  6. Circular type references: Can cause compiler errors
  7. Not handling edge cases: Like empty arrays or null values

Performance Considerations

  • Avoid deeply nested conditional types
  • Use simple types when possible
  • Cache complex type computations
  • Limit recursion depth in recursive types
  • Use build tools to skip type checking in production

Frequently asked questions about TypeScript Advanced Types

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