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Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when…
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders. Use when writing or reviewing Kotlin code and idiomatic structure or null safety is in question.
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Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders. Use when writing or reviewing Kotlin code and idiomatic structure or null safety is in question.
name: kotlin-patterns description: Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders. Use when writing or reviewing Kotlin code and idiomatic structure or null safety is in question. metadata: origin: ECC
Idiomatic Kotlin patterns and best practices for building robust, efficient, and maintainable applications.
This skill enforces idiomatic Kotlin conventions across seven key areas: null safety using the type system and safe-call operators, immutability via `val` and `copy()` on data classes, sealed classes and interfaces for exhaustive type hierarchies, structured concurrency with coroutines and `Flow`, extension functions for adding behaviour without inheritance, type-safe DSL builders using `@DslMarker` and lambda receivers, and Gradle Kotlin DSL for build configuration.
**Null safety with Elvis operator:**
fun getUserEmail(userId: String): String {
val user = userRepository.findById(userId)
return user?.email ?: "unknown@example.com"
}**Sealed class for exhaustive results:**
sealed class Result<out T> {
data class Success<T>(val data: T) : Result<T>()
data class Failure(val error: AppError) : Result<Nothing>()
data object Loading : Result<Nothing>()
}**Structured concurrency with async/await:**
suspend fun fetchUserWithPosts(userId: String): UserProfile =
coroutineScope {
val user = async { userService.getUser(userId) }
val posts = async { postService.getUserPosts(userId) }
UserProfile(user = user.await(), posts = posts.await())
}Kotlin's type system distinguishes nullable and non-nullable types. Leverage it fully.
// Good: Use non-nullable types by default
fun getUser(id: String): User {
return userRepository.findById(id)
?: throw UserNotFoundException("User $id not found")
}
// Good: Safe calls and Elvis operator
fun getUserEmail(userId: String): String {
val user = userRepository.findById(userId)
return user?.email ?: "unknown@example.com"
}
// Bad: Force-unwrapping nullable types
fun getUserEmail(userId: String): String {
val user = userRepository.findById(userId)
return user!!.email // Throws NPE if null
}Prefer `val` over `var`, immutable collections over mutable ones.
// Good: Immutable data
data class User(
val id: String,
val name: String,
val email: String,
)
// Good: Transform with copy()
fun updateEmail(user: User, newEmail: String): User =
user.copy(email = newEmail)
// Good: Immutable collections
val users: List<User> = listOf(user1, user2)
val filtered = users.filter { it.email.isNotBlank() }
// Bad: Mutable state
var currentUser: User? = null // Avoid mutable global state
val mutableUsers = mutableListOf<User>() // Avoid unless truly neededUse expression bodies for concise, readable functions.
// Good: Expression body
fun isAdult(age: Int): Boolean = age >= 18
fun formatFullName(first: String, last: String): String =
"$first $last".trim()
fun User.displayName(): String =
name.ifBlank { email.substringBefore('@') }
// Good: When as expression
fun statusMessage(code: Int): String = when (code) {
200 -> "OK"
404 -> "Not Found"
500 -> "Internal Server Error"
else -> "Unknown status: $code"
}
// Bad: Unnecessary block body
fun isAdult(age: Int): Boolean {
return age >= 18
}Use data classes for types that primarily hold data.
// Good: Data class with copy, equals, hashCode, toString
data class CreateUserRequest(
val name: String,
val email: String,
val role: Role = Role.USER,
)
// Good: Value class for type safety (zero overhead at runtime)
@JvmInline
value class UserId(val value: String) {
init {
require(value.isNotBlank()) { "UserId cannot be blank" }
}
}
@JvmInline
value class Email(val value: String) {
init {
require('@' in value) { "Invalid email: $value" }
}
}
fun getUser(id: UserId): User = userRepository.findById(id)// Good: Sealed class for exhaustive when
sealed class Result<out T> {
data class Success<T>(val data: T) : Result<T>()
data class Failure(val error: AppError) : Result<Nothing>()
data object Loading : Result<Nothing>()
}
fun <T> Result<T>.getOrNull(): T? = when (this) {
is Result.Success -> data
is Result.Failure -> null
is Result.Loading -> null
}
fun <T> Result<T>.getOrThrow(): T = when (this) {
is Result.Success -> data
is Result.Failure -> throw error.toException()
is Result.Loading -> throw IllegalStateException("Still loading")
}sealed interface ApiError {
val message: String
data class NotFound(override val message: String) : ApiError
data class Unauthorized(override val message: String) : ApiError
data class Validation(
override val message: String,
val field: String,
) : ApiError
data class Internal(
override val message: String,
val cause: Throwable? = null,
) : ApiError
}
fun ApiError.toStatusCode(): Int = when (this) {
is ApiError.NotFound -> 404
is ApiError.Unauthorized -> 401
is ApiError.Validation -> 422
is ApiError.Internal -> 500
}// let: Transform nullable or scoped result val length: Int? = name?.let
Your agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills
Repo: affaan-m/everything-claude-code
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