mindrally/skills

kotlin-development

Kotlin development guidelines with best practices for clean code, naming conventions, function design, and data handling

Hot #939 First seen Jan 25, 2026

Installation

$ npx skills add mindrally/skills --skill kotlin-development

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 258
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,564 B
  • docs SUMMARY.md 3,513 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 658 installs

SKILL.md

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