How does this skill handle DSL scope safety?

It implements patterns using the @DslMarker annotation, which prevents developers from accidentally calling functions belonging to an outer DSL scope while inside a nested block.

Does this include infix function patterns?

Yes, it provides implementation strategies for infix functions that allow you to remove dots and parentheses for more natural, sentence-like code expressions.

What are the benefits of using a Kotlin DSL?

Kotlin DSLs improve code readability, reduce boilerplate, and provide compile-time safety and IDE autocompletion for complex configurations or domain models.

Is this skill applicable to Android development?

Yes, Kotlin DSL patterns are a cornerstone of modern Android development, used in everything from Jetpack Compose to Gradle KTS files and library configurations.

Kotlin DSL Patterns

Name: Kotlin DSL Patterns
Author: TheBushidoCollective

byTheBushidoCollective

•

Mobile Development

Design expressive, type-safe domain-specific languages in Kotlin using advanced language features and implementation patterns.

About

The Kotlin DSL Patterns skill provides comprehensive guidance for creating intuitive and readable internal DSLs. By leveraging Kotlin-specific features like lambdas with receivers, extension functions, infix notation, and operator overloading, this skill enables developers to build fluent APIs that feel like native language extensions. It covers critical patterns for type-safe builders and hierarchical configuration, including the use of @DslMarker to ensure scope safety and prevent common nesting errors in complex domain models.

Key Features

Type-safe builder patterns for hierarchical data structures and configurations
39 GitHub stars
Operator overloading techniques for mathematical and logical domain expressions
Infix function implementation for natural, human-readable API syntax
Scope control strategies using @DslMarker to prevent receiver leakage
Lambda with receiver patterns for creating context-aware code blocks

Use Cases

Building expressive testing mini-languages for fluent assertions and mocks
Creating declarative configuration scripts for backend services and frameworks
Designing custom UI or layout builders for Android and multiplatform projects

About

Key Features

Type-safe builder patterns for hierarchical data structures and configurations
39 GitHub stars
Operator overloading techniques for mathematical and logical domain expressions
Infix function implementation for natural, human-readable API syntax
Scope control strategies using @DslMarker to prevent receiver leakage
Lambda with receiver patterns for creating context-aware code blocks

Use Cases

Building expressive testing mini-languages for fluent assertions and mocks
Creating declarative configuration scripts for backend services and frameworks
Designing custom UI or layout builders for Android and multiplatform projects