Imported from Cahmoraes/clean-arch-solid-ddd (
.github/skills/typescript-advanced/SKILL.md). Install upstream withnpx skills add Cahmoraes/clean-arch-solid-ddd --skill typescript-advanced. Copyright stays with the author.
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.
Quick Reference
See references/best-practices.md for practical guidelines on:
- Configuration: Essential
tsconfig.jsonsettings (strict,noUncheckedIndexedAccess,exactOptionalPropertyTypes) - Type Inference vs Explicit Types: When to annotate vs let TypeScript infer
- Interfaces vs Types: Strategic guidelines for choosing between them
- Module/Path Mapping: tsconfig paths and barrel exports patterns
- Error Handling: Custom error classes and Result pattern
- Performance: Type system performance considerations
- Type Testing:
Expect<Equal<X, Y>>patterns for compile-time type tests
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 }>;
Advanced Patterns
Pattern 1: Type-Safe Event Emitter
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
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: "john@example.com" },
});
// Type: User
const user = await api.request("/users/:id", "GET", {
params: { id: "123" },
});
// Type: User
Pattern 3: Builder Pattern with Type Safety
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", "john@example.com").build(); // OK: all required fields set
// const incomplete = builder
// .set("id", "1")
// .build(); // Error: missing required fields
Pattern 4: Deep Readonly/Partial
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
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
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
// 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
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
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
For detailed configuration and patterns, see references/best-practices.md.
Core Guidelines
- Use
unknownoverany: Enforce type checking - Prefer
interfacefor object shapes: Better error messages, declaration merging - Use
typefor unions and complex types: More flexible for computed types - Leverage type inference: Let TypeScript infer when possible
- Create helper types: Build reusable type utilities
- Use const assertions: Preserve literal types
- Avoid type assertions: Use type guards instead
- Document complex types: Add JSDoc comments
- Use strict mode: Enable all strict compiler options
- Test your types: Use type tests to verify type behavior
Type Strategy Summary
| Scenario | Recommendation |
|---|---|
| Function parameters | Always explicit |
| Return types | Let TypeScript infer (usually) |
| Local variables | Let TypeScript infer |
| Public API boundaries | Always explicit |
| Object shapes (extensible) | Use interface |
| Union types | Use type |
| Computed/mapped types | Use type |
Recommended tsconfig.json Settings
{
"compilerOptions": {
"strict": true,
"noUncheckedIndexedAccess": true,
"exactOptionalPropertyTypes": true,
"moduleResolution": "Bundler"
}
}
Type Testing
For detailed patterns, see references/best-practices.md.
// Type assertion tests - basic version
type AssertEqual<T, U> = [T] extends [U] ? ([U] extends [T] ? true : false) : false;
// More robust equality check (handles edge cases better)
type Expect<T extends true> = T;
type Equal<X, Y> = (<T>() => T extends X ? 1 : 2) extends <T>() => T extends Y ? 1 : 2
? true
: false;
// Usage examples
type Test1 = Expect<Equal<string, string>>; // passes
type Test2 = Expect<Equal<string, number>>; // fails at compile time
// Test type behavior at compile time
type TestReturnType = Expect<
Equal<ReturnType<typeof myFunction>, ExpectedType>
>;
// Expect error helper
type ExpectError<T extends never> = T;
// Example usage
type ShouldError = ExpectError<AssertEqual<string, number>>;
Common Pitfalls
- Over-using
any: Defeats the purpose of TypeScript - Ignoring strict null checks: Can lead to runtime errors
- Too complex types: Can slow down compilation
- Not using discriminated unions: Misses type narrowing opportunities
- Forgetting readonly modifiers: Allows unintended mutations
- Circular type references: Can cause compiler errors
- Not handling edge cases: Like empty arrays or null values
Performance Considerations
For detailed examples, see references/best-practices.md.
- 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
- Prefer type guards over type assertions for runtime safety
- Keep union types small and simple in hot paths
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