scala-expert
Expert-level Scala, functional programming, Akka, and reactive systems. Use when the user mentions functional programming, Akka, Cats, or ZIO, or when the task involves Scala Fundamentals, Reactive Systems, or Scala Style.
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npx skills add https://github.com/personamanagmentlayer/pcl --skill scala-expertIs this agent skill safe to install?
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The skill provides safe and idiomatic guidance for Scala development, Akka actors, and functional programming. No security issues or malicious patterns were detected.
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What does this agent skill do?
Scala Expert
Expert guidance for Scala development, functional programming, Akka actors, and reactive systems.
Core Concepts
Scala Fundamentals
- Immutability
- Pattern matching
- Case classes
- Traits and mixins
- Implicit conversions
- For comprehensions
Functional Programming
- Higher-order functions
- Monads (Option, Either, Try)
- Functors and Applicatives
- Type classes
- Pure functions
- Referential transparency
Reactive Systems
- Akka actors
- Akka Streams
- Akka HTTP
- Play Framework
- Cats Effect
- ZIO
Scala Basics
// Case classes
case class User(id: String, name: String, email: String, age: Int)
// Pattern matching
def processUser(user: User): String = user match {
case User(_, name, _, age) if age < 18 => s"$name is a minor"
case User(_, name, _, age) if age >= 65 => s"$name is a senior"
case User(_, name, _, _) => s"$name is an adult"
}
// Options instead of null
def findUser(id: String): Option[User] = {
database.get(id)
}
val userName = findUser("123") match {
case Some(user) => user.name
case None => "Unknown"
}
// Or using map
val name = findUser("123").map(_.name).getOrElse("Unknown")
// For comprehensions
def getUserWithPosts(userId: String): Option[(User, List[Post])] = {
for {
user <- findUser(userId)
posts <- findPosts(userId)
} yield (user, posts)
}
// Traits and mixins
trait Serializable {
def toJson: String
}
trait Loggable {
def log(message: String): Unit = println(s"[LOG] $message")
}
case class Person(name: String, age: Int) extends Serializable with Loggable {
def toJson: String = s"""{"name":"$name","age":$age}"""
}
// Implicit classes (extension methods)
implicit class StringOps(s: String) {
def isValidEmail: Boolean = s.contains("@") && s.contains(".")
}
"test@example.com".isValidEmail // true
Functional Programming
import cats._
import cats.implicits._
// Functor
val numbers = List(1, 2, 3, 4, 5)
val doubled = numbers.map(_ * 2)
// Applicative
val result = (Option(1), Option(2), Option(3)).mapN { (a, b, c) =>
a + b + c
}
// Monad (flatMap)
def fetchUser(id: String): Future[Option[User]] = ???
def fetchPosts(userId: String): Future[List[Post]] = ???
val userWithPosts: Future[Option[(User, List[Post])]] = {
fetchUser("123").flatMap {
case Some(user) =>
fetchPosts(user.id).map(posts => Some((user, posts)))
case None =>
Future.successful(None)
}
}
// Or with for-comprehension
val result: Future[Option[(User, List[Post])]] = for {
userOpt <- fetchUser("123")
posts <- fetchPosts(userOpt.map(_.id).getOrElse(""))
} yield userOpt.map(user => (user, posts))
// Either for error handling
sealed trait Error
case class NotFound(id: String) extends Error
case class ValidationError(message: String) extends Error
def validateUser(user: User): Either[Error, User] = {
if (user.email.isValidEmail) Right(user)
else Left(ValidationError("Invalid email"))
}
def saveUser(user: User): Either[Error, User] = {
for {
validated <- validateUser(user)
saved <- database.save(validated)
} yield saved
}
// Type classes
trait Show[A] {
def show(a: A): String
}
object Show {
def apply[A](implicit sh: Show[A]): Show[A] = sh
implicit val stringShow: Show[String] = new Show[String] {
def show(s: String): String = s
}
implicit val intShow: Show[Int] = new Show[Int] {
def show(i: Int): String = i.toString
}
implicit def listShow[A: Show]: Show[List[A]] = new Show[List[A]] {
def show(list: List[A]): String = {
list.map(Show[A].show).mkString("[", ", ", "]")
}
}
}
def print[A: Show](a: A): Unit = {
println(Show[A].show(a))
}
Akka Actors
import akka.actor.typed._
import akka.actor.typed.scaladsl._
// Actor definition
object UserActor {
sealed trait Command
final case class GetUser(id: String, replyTo: ActorRef[Response]) extends Command
final case class CreateUser(user: User, replyTo: ActorRef[Response]) extends Command
sealed trait Response
final case class UserFound(user: User) extends Response
final case class UserNotFound(id: String) extends Response
final case class UserCreated(user: User) extends Response
def apply(): Behavior[Command] = {
Behaviors.setup { context =>
var users = Map.empty[String, User]
Behaviors.receiveMessage {
case GetUser(id, replyTo) =>
users.get(id) match {
case Some(user) =>
replyTo ! UserFound(user)
case None =>
replyTo ! UserNotFound(id)
}
Behaviors.same
case CreateUser(user, replyTo) =>
users = users + (user.id -> user)
replyTo ! UserCreated(user)
Behaviors.same
}
}
}
}
// Using the actor
val system: ActorSystem[UserActor.Command] =
ActorSystem(UserActor(), "user-system")
import akka.actor.typed.scaladsl.AskPattern._
import akka.util.Timeout
import scala.concurrent.duration._
implicit val timeout: Timeout = 3.seconds
val response: Future[UserActor.Response] =
system.ask(ref => UserActor.GetUser("123", ref))
Akka Streams
import akka.stream._
import akka.stream.scaladsl._
import akka.actor.ActorSystem
implicit val system = ActorSystem("streams")
implicit val materializer = ActorMaterializer()
// Simple stream
val source = Source(1 to 10)
val flow = Flow[Int].map(_ * 2)
val sink = Sink.foreach[Int](println)
source.via(flow).runWith(sink)
// Backpressure handling
val throttled = Source(1 to 100)
.throttle(10, 1.second)
.map { n =>
println(s"Processing $n")
n * 2
}
.runWith(Sink.ignore)
// Error handling
val resilient = Source(1 to 10)
.map { n =>
if (n == 5) throw new Exception("Error at 5")
n * 2
}
.recover {
case e: Exception => -1
}
.runWith(Sink.seq)
// Parallelism
val parallel = Source(1 to 100)
.mapAsync(parallelism = 4) { n =>
Future {
// Async operation
Thread.sleep(100)
n * 2
}
}
.runWith(Sink.seq)
Akka HTTP
import akka.http.scaladsl.Http
import akka.http.scaladsl.server.Directives._
import akka.http.scaladsl.marshallers.sprayjson.SprayJsonSupport._
import spray.json.DefaultJsonProtocol._
// JSON protocol
case class User(id: String, name: String, email: String)
object JsonProtocol {
implicit val userFormat = jsonFormat3(User)
}
import JsonProtocol._
// Routes
val routes =
pathPrefix("api") {
pathPrefix("users") {
get {
path(Segment) { userId =>
// GET /api/users/:userId
complete(findUser(userId))
} ~
pathEnd {
// GET /api/users
complete(getAllUsers())
}
} ~
post {
pathEnd {
// POST /api/users
entity(as[User]) { user =>
complete(createUser(user))
}
}
}
}
}
// Start server
val bindingFuture = Http().newServerAt("localhost", 8080).bind(routes)
Cats Effect / ZIO
import cats.effect._
import cats.effect.implicits._
// Pure functional effects with Cats Effect
def fetchUser(id: String): IO[User] = IO {
// Effectful computation
database.get(id)
}
def saveUser(user: User): IO[Unit] = IO {
database.save(user)
}
val program: IO[Unit] = for {
user <- fetchUser("123")
updated = user.copy(name = "Updated")
_ <- saveUser(updated)
} yield ()
// Error handling
val safeProgram: IO[Either[Throwable, Unit]] = program.attempt
// Parallel execution
val parallel: IO[List[User]] = {
List("1", "2", "3")
.parTraverse(id => fetchUser(id))
}
// ZIO
import zio._
def fetchUserZIO(id: String): Task[User] = ZIO.attempt {
database.get(id)
}
val zioProgram: Task[Unit] = for {
user <- fetchUserZIO("123")
_ <- Console.printLine(s"Found user: ${user.name}")
} yield ()
Best Practices
Functional Programming
- Prefer immutability
- Use pure functions
- Avoid side effects
- Use Option/Either over null/exceptions
- Leverage type classes
- Use for-comprehensions
- Apply functional composition
Scala Style
- Follow naming conventions
- Use case classes for data
- Prefer vals over vars
- Use pattern matching
- Avoid null
- Use implicits carefully
- Write idiomatic code
Performance
- Use lazy evaluation
- Stream large datasets
- Avoid unnecessary allocations
- Use tail recursion
- Profile before optimizing
- Consider parallelism
Anti-Patterns
❌ Using null ❌ Mutable state everywhere ❌ God objects ❌ Excessive implicits ❌ Not handling errors ❌ Blocking operations ❌ Not using type safety
Resources
- Scala Documentation: https://docs.scala-lang.org/
- Akka Documentation: https://doc.akka.io/
- Cats: https://typelevel.org/cats/
- ZIO: https://zio.dev/
- Functional Programming in Scala (Red Book)
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