What is the recommended workflow for this skill?

The workflow starts by updating the design files in design/*_gen.json, running ./gradlew genDesign to create skeletons, and then implementing the domain, application, and adapter layers in sequence.

What coding standards does it enforce for Kotlin?

It follows a specific project convention including 4-space indentation, expression bodies for simple returns, and strict internal setters for aggregate fields to maintain encapsulation.

How does this skill handle database operations?

It enforces a strict separation where Commands use repositories to load/save aggregates via the Unit of Work, while Queries use KSqlClient directly for optimized read-side projections.

How are business errors handled in this architecture?

Business errors are handled through JSR-303 validation and the throwing of KnownException, ensuring that validation logic is centralized and predictable.

CleanDDD Kotlin Coding

Name: CleanDDD Kotlin Coding
Author: LDmoxeii

byLDmoxeii

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Desarrollo de API

Implements Clean Architecture and Domain-Driven Design patterns for Kotlin-based backend services using a code-generation workflow.

Acerca de

This skill facilitates development within the only-danmuku project ecosystem by enforcing CleanDDD principles in Kotlin. It guides the creation and modification of aggregates, commands, queries, and API endpoints while ensuring strict separation of concerns through CQRS (Command Query Responsibility Segregation). By integrating with the design-led code generation process, it helps developers maintain a consistent codebase where the domain layer remains isolated from infrastructure and web concerns.

Características Principales

Standardized API endpoint orchestration using the Mediator pattern
2 GitHub stars
Anti-Corruption Layer (ACL) integration for external service mapping
Automated skeleton generation for commands, queries, and events via design files
Strict enforcement of CQRS principles to separate read and write operations
Domain-driven aggregate management with encapsulated state changes

Casos de Uso

Building high-performance read models using KSqlClient-based queries
Implementing new business features by defining domain models and command handlers
Integrating external APIs through specialized client contracts and handlers

Acerca de

Características Principales

Standardized API endpoint orchestration using the Mediator pattern
2 GitHub stars
Anti-Corruption Layer (ACL) integration for external service mapping
Automated skeleton generation for commands, queries, and events via design files
Strict enforcement of CQRS principles to separate read and write operations
Domain-driven aggregate management with encapsulated state changes

Casos de Uso

Building high-performance read models using KSqlClient-based queries
Implementing new business features by defining domain models and command handlers
Integrating external APIs through specialized client contracts and handlers