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kotlin-development

kotlin-development

github.com/mindrallyDevelopment287716 installsUpdated 3w ago
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About kotlin-development

kotlin-development is a guidance skill for developers writing and organizing Kotlin code. It sets conventions for naming, function and class design, data handling, exceptions, testing, and code organization.

Key features

  1. 01Naming and typing conventions
  2. 02Focused functions and classes
  3. 03Immutable data handling
  4. 04Exception handling guidance
  5. 05Unit and acceptance testing
  6. 06Package and file organization

Use cases

  1. 01Establishing Kotlin coding conventions
  2. 02Reviewing function and class design
  3. 03Planning exception handling
  4. 04Structuring Kotlin tests and packages

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mindrally/skills --skill kotlin-development

After installing, type/kotlin-developmentin Claude Code to confirm it loaded.

Details

From the project README

Kotlin Development Best Practices

General Principles

  • Use English for all code and documentation
  • Always declare the type of each variable and function
  • Avoid the any type; create necessary types instead
  • No blank lines within function bodies

Naming Conventions

Case Standards
  • PascalCase: Classes, interfaces, enums
  • camelCase: Variables, functions, methods, parameters
  • UPPERCASE: Environment variables, constants
  • underscores_case: Files and directories
Naming Guidelines
  • Start each function with a verb (get, set, create, update, delete, etc.)
  • Use complete words over abbreviations
    • Allowed abbreviations: API, URL, i/j for loops, err, ctx, req/res/next
  • Avoid magic numbers; define constants instead
  • Boolean variables use prefixes: isLoading, hasError, canDelete

Function Design

Size and Responsibility
  • Keep functions under 20 instructions
  • Each function should have a single responsibility
  • Extract logic into utility functions when complexity increases
Naming Functions
  • Use verb-based naming that describes the action
  • Prefix boolean-returning functions with is, has, or can
  • Prefix void functions with action verbs like execute, save, send
Reducing Nesting
  • Use early returns to handle edge cases first
  • Extract nested logic into separate functions
  • Employ higher-order functions (map, filter, reduce) to minimize loops
  • Prefer arrow functions for simple operations; use named functions otherwise
Parameters
  • Use default parameters instead of null checks
  • When functions have multiple parameters, consolidate them into objects (RO-RO pattern)
  • Keep parameter lists short (max 3-4 parameters)

Data Handling

Data Classes
  • Use data classes for data structures
  • Encapsulate primitive types in composite types when they represent domain concepts
  • Validate data internally within data classes
Immutability
  • Prefer immutability for data
  • Use val for variables that don't change
  • Use immutable collections when possible
  • Create new instances instead of mutating existing ones

Classes and Objects

Size Guidelines
  • Keep classes under 200 instructions
  • Limit to fewer than 10 public methods
  • Limit to fewer than 10 properties
Design Principles
  • Follow SOLID principles
  • Favor composition over inheritance
  • Use interfaces for abstraction
  • Keep classes focused on a single responsibility

Exception Handling

When to Use Exceptions
  • Reserve exceptions for truly unexpected errors
  • Don't use exceptions for control flow
  • Catch exceptions only to:
    • Fix an anticipated issue
    • Add context before re-throwing
Best Practices
  • Create custom exception types for domain-specific errors
  • Include meaningful error messages
  • Log exceptions at appropriate levels

Testing

Unit Tests
  • Follow Arrange-Act-Assert convention
  • Write unit tests for all public functions
  • Use test doubles (mocks, stubs, fakes) for dependencies
  • Name tests descriptively to document behavior
Acceptance Tests
  • Follow Given-When-Then convention
  • Test user-facing behavior and scenarios
  • Keep tests independent and repeatable

Code Organization

  • Group related functionality together
  • Keep files focused and cohesive
  • Use packages/modules to organize code by feature or layer
  • Maintain consistent file structure across the project

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