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This skill helps you harness TypeScript advanced types to build robust, type-safe utilities and APIs with generics, mapped types, and conditional types.

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---
name: typescript-advanced-types
description: Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.
---

# 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:**

```typescript
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:**

```typescript
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:**

```typescript
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:**

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

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

**Extracting Return Types:**

```typescript
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:**

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

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

**Nested Conditions:**

```typescript
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:**

```typescript
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:**

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

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

**Key Remapping:**

```typescript
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:**

```typescript
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:**

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

**String Manipulation:**

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

**Path Building:**

```typescript
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:**

```typescript
// 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 }>;
```

## Advanced Patterns

### Pattern 1: Type-Safe Event Emitter

```typescript
type EventMap = {
  "user:created": { id: string; name: string };
  "user:updated": { id: string };
  "user:deleted": { id: string };
};

class TypedEventEmitter<T extends Record<string, any>> {
  private listeners: {
    [K in keyof T]?: Array<(data: T[K]) => void>;
  } = {};

  on<K extends keyof T>(event: K, callback: (data: T[K]) => void): void {
    if (!this.listeners[event]) {
      this.listeners[event] = [];
    }
    this.listeners[event]!.push(callback);
  }

  emit<K extends keyof T>(event: K, data: T[K]): void {
    const callbacks = this.listeners[event];
    if (callbacks) {
      callbacks.forEach((callback) => callback(data));
    }
  }
}

const emitter = new TypedEventEmitter<EventMap>();

emitter.on("user:created", (data) => {
  console.log(data.id, data.name); // Type-safe!
});

emitter.emit("user:created", { id: "1", name: "John" });
// emitter.emit("user:created", { id: "1" });  // Error: missing 'name'
```

### Pattern 2: Type-Safe API Client

```typescript
type HTTPMethod = "GET" | "POST" | "PUT" | "DELETE";

type EndpointConfig = {
  "/users": {
    GET: { response: User[] };
    POST: { body: { name: string; email: string }; response: User };
  };
  "/users/:id": {
    GET: { params: { id: string }; response: User };
    PUT: { params: { id: string }; body: Partial<User>; response: User };
    DELETE: { params: { id: string }; response: void };
  };
};

type ExtractParams<T> = T extends { params: infer P } ? P : never;
type ExtractBody<T> = T extends { body: infer B } ? B : never;
type ExtractResponse<T> = T extends { response: infer R } ? R : never;

class APIClient<Config extends Record<string, Record<HTTPMethod, any>>> {
  async request<Path extends keyof Config, Method extends keyof Config[Path]>(
    path: Path,
    method: Method,
    ...[options]: ExtractParams<Config[Path][Method]> extends never
      ? ExtractBody<Config[Path][Method]> extends never
        ? []
        : [{ body: ExtractBody<Config[Path][Method]> }]
      : [
          {
            params: ExtractParams<Config[Path][Method]>;
            body?: ExtractBody<Config[Path][Method]>;
          },
        ]
  ): Promise<ExtractResponse<Config[Path][Method]>> {
    // Implementation here
    return {} as any;
  }
}

const api = new APIClient<EndpointConfig>();

// Type-safe API calls
const users = await api.request("/users", "GET");
// Type: User[]

const newUser = await api.request("/users", "POST", {
  body: { name: "John", email: "[email protected]" },
});
// Type: User

const user = await api.request("/users/:id", "GET", {
  params: { id: "123" },
});
// Type: User
```

### Pattern 3: Builder Pattern with Type Safety

```typescript
type BuilderState<T> = {
  [K in keyof T]: T[K] | undefined;
};

type RequiredKeys<T> = {
  [K in keyof T]-?: {} extends Pick<T, K> ? never : K;
}[keyof T];

type OptionalKeys<T> = {
  [K in keyof T]-?: {} extends Pick<T, K> ? K : never;
}[keyof T];

type IsComplete<T, S> =
  RequiredKeys<T> extends keyof S
    ? S[RequiredKeys<T>] extends undefined
      ? false
      : true
    : false;

class Builder<T, S extends BuilderState<T> = {}> {
  private state: S = {} as S;

  set<K extends keyof T>(key: K, value: T[K]): Builder<T, S & Record<K, T[K]>> {
    this.state[key] = value;
    return this as any;
  }

  build(this: IsComplete<T, S> extends true ? this : never): T {
    return this.state as T;
  }
}

interface User {
  id: string;
  name: string;
  email: string;
  age?: number;
}

const builder = new Builder<User>();

const user = builder
  .set("id", "1")
  .set("name", "John")
  .set("email", "[email protected]")
  .build(); // OK: all required fields set

// const incomplete = builder
//   .set("id", "1")
//   .build();  // Error: missing required fields
```

### Pattern 4: Deep Readonly/Partial

```typescript
type DeepReadonly<T> = {
  readonly [P in keyof T]: T[P] extends object
    ? T[P] extends Function
      ? T[P]
      : DeepReadonly<T[P]>
    : T[P];
};

type DeepPartial<T> = {
  [P in keyof T]?: T[P] extends object
    ? T[P] extends Array<infer U>
      ? Array<DeepPartial<U>>
      : DeepPartial<T[P]>
    : T[P];
};

interface Config {
  server: {
    host: string;
    port: number;
    ssl: {
      enabled: boolean;
      cert: string;
    };
  };
  database: {
    url: string;
    pool: {
      min: number;
      max: number;
    };
  };
}

type ReadonlyConfig = DeepReadonly<Config>;
// All nested properties are readonly

type PartialConfig = DeepPartial<Config>;
// All nested properties are optional
```

### Pattern 5: Type-Safe Form Validation

```typescript
type ValidationRule<T> = {
  validate: (value: T) => boolean;
  message: string;
};

type FieldValidation<T> = {
  [K in keyof T]?: ValidationRule<T[K]>[];
};

type ValidationErrors<T> = {
  [K in keyof T]?: string[];
};

class FormValidator<T extends Record<string, any>> {
  constructor(private rules: FieldValidation<T>) {}

  validate(data: T): ValidationErrors<T> | null {
    const errors: ValidationErrors<T> = {};
    let hasErrors = false;

    for (const key in this.rules) {
      const fieldRules = this.rules[key];
      const value = data[key];

      if (fieldRules) {
        const fieldErrors: string[] = [];

        for (const rule of fieldRules) {
          if (!rule.validate(value)) {
            fieldErrors.push(rule.message);
          }
        }

        if (fieldErrors.length > 0) {
          errors[key] = fieldErrors;
          hasErrors = true;
        }
      }
    }

    return hasErrors ? errors : null;
  }
}

interface LoginForm {
  email: string;
  password: string;
}

const validator = new FormValidator<LoginForm>({
  email: [
    {
      validate: (v) => v.includes("@"),
      message: "Email must contain @",
    },
    {
      validate: (v) => v.length > 0,
      message: "Email is required",
    },
  ],
  password: [
    {
      validate: (v) => v.length >= 8,
      message: "Password must be at least 8 characters",
    },
  ],
});

const errors = validator.validate({
  email: "invalid",
  password: "short",
});
// Type: { email?: string[]; password?: string[]; } | null
```

### Pattern 6: Discriminated Unions

```typescript
type Success<T> = {
  status: "success";
  data: T;
};

type Error = {
  status: "error";
  error: string;
};

type Loading = {
  status: "loading";
};

type AsyncState<T> = Success<T> | Error | Loading;

function handleState<T>(state: AsyncState<T>): void {
  switch (state.status) {
    case "success":
      console.log(state.data); // Type: T
      break;
    case "error":
      console.log(state.error); // Type: string
      break;
    case "loading":
      console.log("Loading...");
      break;
  }
}

// Type-safe state machine
type State =
  | { type: "idle" }
  | { type: "fetching"; requestId: string }
  | { type: "success"; data: any }
  | { type: "error"; error: Error };

type Event =
  | { type: "FETCH"; requestId: string }
  | { type: "SUCCESS"; data: any }
  | { type: "ERROR"; error: Error }
  | { type: "RESET" };

function reducer(state: State, event: Event): State {
  switch (state.type) {
    case "idle":
      return event.type === "FETCH"
        ? { type: "fetching", requestId: event.requestId }
        : state;
    case "fetching":
      if (event.type === "SUCCESS") {
        return { type: "success", data: event.data };
      }
      if (event.type === "ERROR") {
        return { type: "error", error: event.error };
      }
      return state;
    case "success":
    case "error":
      return event.type === "RESET" ? { type: "idle" } : state;
  }
}
```

## Type Inference Techniques

### 1. Infer Keyword

```typescript
// Extract array element type
type ElementType<T> = T extends (infer U)[] ? U : never;

type NumArray = number[];
type Num = ElementType<NumArray>; // number

// Extract promise type
type PromiseType<T> = T extends Promise<infer U> ? U : never;

type AsyncNum = PromiseType<Promise<number>>; // number

// Extract function parameters
type Parameters<T> = T extends (...args: infer P) => any ? P : never;

function foo(a: string, b: number) {}
type FooParams = Parameters<typeof foo>; // [string, number]
```

### 2. Type Guards

```typescript
function isString(value: unknown): value is string {
  return typeof value === "string";
}

function isArrayOf<T>(
  value: unknown,
  guard: (item: unknown) => item is T,
): value is T[] {
  return Array.isArray(value) && value.every(guard);
}

const data: unknown = ["a", "b", "c"];

if (isArrayOf(data, isString)) {
  data.forEach((s) => s.toUpperCase()); // Type: string[]
}
```

### 3. Assertion Functions

```typescript
function assertIsString(value: unknown): asserts value is string {
  if (typeof value !== "string") {
    throw new Error("Not a string");
  }
}

function processValue(value: unknown) {
  assertIsString(value);
  // value is now typed as string
  console.log(value.toUpperCase());
}
```

## 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

```typescript
// 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

## Resources

- **TypeScript Handbook**: https://www.typescriptlang.org/docs/handbook/
- **Type Challenges**: https://github.com/type-challenges/type-challenges
- **TypeScript Deep Dive**: https://basarat.gitbook.io/typescript/
- **Effective TypeScript**: Book by Dan Vanderkam

Overview

This skill teaches mastery of TypeScript's advanced type system — generics, conditional types, mapped types, template literal types, and utility types — to build robust, compile-time safe applications. It focuses on practical patterns and reusable type utilities you can apply when designing libraries, APIs, forms, and state machines. Examples and patterns show how to enforce contracts, infer types, and reduce runtime errors through stronger typing.

How this skill works

The skill inspects common TypeScript scenarios and introduces type-level techniques to encode constraints and relationships. It explains how to declare and constrain generics, write conditional and distributive types, transform shapes with mapped types, build string-based types with template literal types, and leverage built-in utility types. Concrete patterns (typed event emitters, API clients, builders, deep readonly/partial, form validators, discriminated unions) demonstrate real-world application.

When to use it

  • When building reusable libraries or component APIs that must maintain type safety across consumers
  • When designing type-safe HTTP clients or backend SDKs with precise request/response contracts
  • When implementing complex inference or transformation logic at the type level
  • When creating form validation, configuration objects, or state machines that benefit from compile-time checks
  • When migrating large JavaScript codebases to TypeScript and you need progressive, safe typings

Best practices

  • Prefer small, composable type utilities over monolithic types; combine primitives with utility types
  • Use generic constraints to provide helpful type inference and clear compiler errors
  • Reserve heavy conditional and mapped types for public APIs where safety outweighs complexity
  • Document intent and examples for advanced types; names like ExtractParams or DeepReadonly aid discoverability
  • Verify complex types with minimal runtime tests or type-level tests (tsd) to prevent regressions

Example use cases

  • A typed event emitter that ensures listeners and payloads match event keys
  • A generic API client that enforces per-endpoint params, body, and response types
  • A builder pattern that prevents calling build until all required fields are set
  • DeepReadonly and DeepPartial utilities for configuration objects and safe immutability
  • A form validator that maps field rules to typed validation errors

FAQ

Will advanced types affect runtime performance?

No. TypeScript types are erased at compile time; advanced types only affect developer experience and compile-time checks.

How do I debug complex conditional or mapped types?

Simplify by splitting large types into named intermediate types, use small example inputs, and rely on editor type inspection or type-level tests (tsd) to validate expected shapes.