typescript-advanced-types

TypeScript Advanced Types

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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 }

  1. 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"

  1. 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&#x3C;string &#x26; 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; }

  1. 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&#x3C;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&#x3C;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"

  1. 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]

  1. 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[] }

  1. 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

  • Use unknown over any : Enforce type checking

  • Prefer interface for object shapes: Better error messages

  • Use type for unions and complex types: More flexible

  • 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 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

  • 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

  • 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

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