SkillAgentSearch skills...

python-scala-oop

Guide for translating Python classes, inheritance, and object-oriented patterns to Scala

Install / Use

npx skills add benchflow-ai/skillsbench --skill python-scala-oop

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Supported Platforms

Universal

Our assessment of python-scala-oop

python-scala-oop scores 89/100 on our quality scale, 1103rd of 4,140 Development & Engineering skills we index (top 27%).

Its SKILL.md is 7.4 KB long, well organised into 23 sections with 22 code examples: a thorough specification that gives an agent plenty to work with.

With 1,813 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so python-scala-oop is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-30. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

python-scala-oop compared with similar skills

All 4 of these similar skills score higher than python-scala-oop; compare them before choosing.

SkillScoreStarsUpdatedFormat
python-scala-oop (this skill)by benchflow-ai891.8k2mo agoSKILL.md
Agent-Reachby Panniantong10086.4k15d agoCLAUDE.md
headroomby headroomlabs-ai10074.2ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10044.6k1d agoCLAUDE.md
claude-howtoby luongnv8910041.7ktodayCLAUDE.md

Frequently asked questions

How do I install python-scala-oop?
Run npx skills add benchflow-ai/skillsbench --skill python-scala-oop. The install tabs above show the steps for each supported agent.
Which AI agents does python-scala-oop work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is python-scala-oop safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is python-scala-oop still maintained?
The repository was last updated about 2 months ago, so python-scala-oop is actively maintained.

name: python-scala-oop description: Guide for translating Python classes, inheritance, and object-oriented patterns to Scala. Use when converting Python code with classes, dataclasses, abstract classes, inheritance, properties, static methods, class methods, or design patterns.

Python to Scala OOP Translation

Basic Classes

# Python
class Person:
    def __init__(self, name: str, age: int):
        self.name = name
        self.age = age

    def greet(self) -> str:
        return f"Hello, I'm {self.name}"
// Scala
class Person(val name: String, val age: Int) {
  def greet: String = s"Hello, I'm $name"
}

// Usage
val person = new Person("Alice", 30)  // 'new' required for class

Data Classes → Case Classes

# Python
from dataclasses import dataclass

@dataclass
class Point:
    x: float
    y: float

@dataclass(frozen=True)
class ImmutablePoint:
    x: float
    y: float
// Scala - case class is idiomatic
case class Point(x: Double, y: Double)

// Case classes are immutable by default
// They auto-generate: equals, hashCode, toString, copy, apply

// Usage
val p = Point(1.0, 2.0)  // No 'new' needed for case class
val p2 = p.copy(x = 3.0)  // Creates new instance with x changed

Properties

# Python
class Circle:
    def __init__(self, radius: float):
        self._radius = radius

    @property
    def radius(self) -> float:
        return self._radius

    @radius.setter
    def radius(self, value: float):
        if value < 0:
            raise ValueError("Radius must be non-negative")
        self._radius = value

    @property
    def area(self) -> float:
        return 3.14159 * self._radius ** 2
// Scala
class Circle(private var _radius: Double) {
  require(_radius >= 0, "Radius must be non-negative")

  def radius: Double = _radius

  def radius_=(value: Double): Unit = {
    require(value >= 0, "Radius must be non-negative")
    _radius = value
  }

  def area: Double = math.Pi * _radius * _radius
}

// Idiomatic Scala: prefer immutable case class
case class Circle(radius: Double) {
  require(radius >= 0, "Radius must be non-negative")
  def area: Double = math.Pi * radius * radius
}

Inheritance

# Python
class Animal:
    def __init__(self, name: str):
        self.name = name

    def speak(self) -> str:
        raise NotImplementedError

class Dog(Animal):
    def speak(self) -> str:
        return f"{self.name} says woof!"

class Cat(Animal):
    def speak(self) -> str:
        return f"{self.name} says meow!"
// Scala
abstract class Animal(val name: String) {
  def speak: String  // Abstract method
}

class Dog(name: String) extends Animal(name) {
  override def speak: String = s"$name says woof!"
}

class Cat(name: String) extends Animal(name) {
  override def speak: String = s"$name says meow!"
}

Abstract Classes and Interfaces

# Python
from abc import ABC, abstractmethod

class Shape(ABC):
    @abstractmethod
    def area(self) -> float:
        pass

    @abstractmethod
    def perimeter(self) -> float:
        pass

    def describe(self) -> str:
        return f"Area: {self.area()}, Perimeter: {self.perimeter()}"
// Scala - abstract class
abstract class Shape {
  def area: Double
  def perimeter: Double
  def describe: String = s"Area: $area, Perimeter: $perimeter"
}

// Scala - trait (preferred for interfaces)
trait Shape {
  def area: Double
  def perimeter: Double
  def describe: String = s"Area: $area, Perimeter: $perimeter"
}

// Implementation
case class Rectangle(width: Double, height: Double) extends Shape {
  def area: Double = width * height
  def perimeter: Double = 2 * (width + height)
}

Multiple Inheritance → Traits

# Python
class Flyable:
    def fly(self) -> str:
        return "Flying!"

class Swimmable:
    def swim(self) -> str:
        return "Swimming!"

class Duck(Animal, Flyable, Swimmable):
    def speak(self) -> str:
        return "Quack!"
// Scala - use traits for mixins
trait Flyable {
  def fly: String = "Flying!"
}

trait Swimmable {
  def swim: String = "Swimming!"
}

class Duck(name: String) extends Animal(name) with Flyable with Swimmable {
  override def speak: String = "Quack!"
}

Static Methods and Class Methods

# Python
class MathUtils:
    PI = 3.14159

    @staticmethod
    def add(a: int, b: int) -> int:
        return a + b

    @classmethod
    def from_string(cls, s: str) -> "MathUtils":
        return cls()
// Scala - use companion object
class MathUtils {
  // Instance methods here
}

object MathUtils {
  val PI: Double = 3.14159

  def add(a: Int, b: Int): Int = a + b

  def fromString(s: String): MathUtils = new MathUtils()
}

// Usage
MathUtils.add(1, 2)
MathUtils.PI

Factory Pattern

# Python
class Shape:
    @staticmethod
    def create(shape_type: str) -> "Shape":
        if shape_type == "circle":
            return Circle()
        elif shape_type == "rectangle":
            return Rectangle()
        raise ValueError(f"Unknown shape: {shape_type}")
// Scala - companion object with apply
sealed trait Shape

case class Circle(radius: Double) extends Shape
case class Rectangle(width: Double, height: Double) extends Shape

object Shape {
  def apply(shapeType: String): Shape = shapeType match {
    case "circle" => Circle(1.0)
    case "rectangle" => Rectangle(1.0, 1.0)
    case other => throw new IllegalArgumentException(s"Unknown shape: $other")
  }
}

// Usage
val shape = Shape("circle")

Enums

# Python
from enum import Enum, auto

class Color(Enum):
    RED = auto()
    GREEN = auto()
    BLUE = auto()

class Status(Enum):
    PENDING = "pending"
    APPROVED = "approved"
    REJECTED = "rejected"
// Scala 3
enum Color:
  case Red, Green, Blue

enum Status(val value: String):
  case Pending extends Status("pending")
  case Approved extends Status("approved")
  case Rejected extends Status("rejected")

// Scala 2 - sealed trait pattern
sealed trait Color
object Color {
  case object Red extends Color
  case object Green extends Color
  case object Blue extends Color
}

Singleton

# Python
class Singleton:
    _instance = None

    def __new__(cls):
        if cls._instance is None:
            cls._instance = super().__new__(cls)
        return cls._instance
// Scala - object is a singleton
object Singleton {
  def doSomething(): Unit = println("I'm a singleton!")
}

// Usage
Singleton.doSomething()

Special Methods (Dunder Methods)

| Python | Scala | |--------|-------| | __init__ | Primary constructor | | __str__ | toString | | __repr__ | toString (case classes auto-generate) | | __eq__ | equals (case classes auto-generate) | | __hash__ | hashCode (case classes auto-generate) | | __len__ | length or size method | | __getitem__ | apply method | | __setitem__ | update method | | __iter__ | Extend Iterable trait | | __add__ | + method | | __lt__, __le__, etc. | Extend Ordered trait |

# Python
class Vector:
    def __init__(self, x, y):
        self.x = x
        self.y = y

    def __add__(self, other):
        return Vector(self.x + other.x, self.y + other.y)

    def __str__(self):
        return f"Vector({self.x}, {self.y})"
// Scala
case class Vector(x: Double, y: Double) {
  def +(other: Vector): Vector = Vector(x + other.x, y + other.y)
  // toString auto-generated by case class
}

Related Skills

View on GitHub
GitHub Stars1.8k
CategoryDevelopment
Updated2mo ago
Forks368

Languages

PDDL

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions