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typescript-advanced-types skill

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This skill helps you master TypeScript advanced types to build robust type-safe APIs, libraries, and components with confidence.

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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 advanced TypeScript type-system techniques to build robust, compile-time safe applications. It covers generics, conditional and mapped types, template literal types, built-in utilities, and common advanced patterns for real-world code. Use it to design reusable type utilities, enforce API contracts, and catch errors early during development.

How this skill works

The skill inspects and explains advanced type constructs and shows how to compose them to express complex invariants. It demonstrates generics with constraints, conditional and distributive types, mapped and key-remapped types, template literal transformations, and utility types like Partial/Readonly/Record. Practical patterns include typed event emitters, type-safe API clients, builders, deep readonly/partial utilities, form validation, and discriminated unions.

When to use it

  • Creating reusable generic libraries or UI components that must stay type-safe
  • Designing type-safe API clients and request/response contracts
  • Enforcing shape and invariants for configuration or state objects
  • Implementing compile-time validation and inference for forms or builders
  • Migrating large JavaScript codebases to strict TypeScript gradually

Best practices

  • Prefer narrow, composable types over large monolithic types to improve inference
  • Use constraints (T extends ...) to capture required properties without over-constraining
  • Leverage utility types (Partial/Required/Readonly/Record/Omit) before writing custom mapped types
  • Use discriminated unions for clear runtime narrowing and exhaustive checks
  • Document intent for complex conditional types and provide type aliases for readability

Example use cases

  • A typed event emitter that enforces event payload shapes and prevents runtime errors
  • An API client where path/method selections drive correct params, body, and response types
  • A builder pattern that only exposes build() when all required fields are set
  • DeepReadonly/DeepPartial utilities for immutable configs and safe partial updates
  • A form validator that returns typed error maps matching form field keys

FAQ

When should I write custom mapped types instead of using built-ins?

Use built-ins first (Partial, Readonly, Record, Pick, Omit). Write custom mapped types when you need key remapping, conditional filtering, or nested transformations that built-ins cannot express.

How do conditional types affect type inference for unions?

Conditional types distribute over unions by default, producing a union of results for each member. Use wrappers like [T] to prevent distribution when you need a single conditional over the entire union.