clean-architecture

giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026

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$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill clean-architecture
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summary

This skill provides comprehensive guidance for implementing Clean Architecture, Hexagonal Architecture (Ports & Adapters), and Domain-Driven Design tactical patterns in Java 21+ Spring Boot 3.5+ applications. It ensures clear separation of concerns, framework-independent domain logic, and highly testable codebases through proper layering and dependency management.

skill.md

Clean Architecture, Hexagonal Architecture & DDD for Spring Boot

Overview

This skill provides comprehensive guidance for implementing Clean Architecture, Hexagonal Architecture (Ports & Adapters), and Domain-Driven Design tactical patterns in Java 21+ Spring Boot 3.5+ applications. It ensures clear separation of concerns, framework-independent domain logic, and highly testable codebases through proper layering and dependency management.

When to Use

  • Architecting new Spring Boot applications with clear separation of concerns
  • Refactoring tightly coupled code into testable, layered architectures
  • Implementing domain logic independent of frameworks and infrastructure
  • Designing ports and adapters for swappable implementations
  • Applying Domain-Driven Design tactical patterns (entities, value objects, aggregates)
  • Creating testable business logic without Spring context dependencies

Instructions

1. Understand the Core Concepts

Clean Architecture Layers (Dependency Rule)

Dependencies flow inward. Inner layers know nothing about outer layers.

Layer Responsibility Spring Boot Equivalent
Domain Entities, value objects, domain events, repository interfaces domain/ - no Spring annotations
Application Use cases, application services, DTOs, ports application/ - @Service, @Transactional
Infrastructure Frameworks, database, external APIs infrastructure/ - @Repository, @Entity
Adapter Controllers, presenters, external gateways adapter/ - @RestController

Hexagonal Architecture (Ports & Adapters)

  • Domain Core: Pure Java business logic, no framework dependencies
  • Ports: Interfaces defining contracts (driven and driving)
  • Adapters: Concrete implementations (JPA, REST, messaging)

Domain-Driven Design Tactical Patterns

  • Entities: Objects with identity and lifecycle (e.g., Order, Customer)
  • Value Objects: Immutable, defined by attributes (e.g., Money, Email)
  • Aggregates: Consistency boundary with root entity
  • Domain Events: Capture significant business occurrences
  • Repositories: Persistence abstraction, implemented in infrastructure

2. Organize Package Structure

Follow this feature-based package organization:

com.example.order/
├── domain/
│   ├── model/              # Entities, value objects
│   ├── event/              # Domain events
│   ├── repository/         # Repository interfaces (ports)
│   └── exception/          # Domain exceptions
├── application/
│   ├── port/in/            # Driving ports (use case interfaces)
│   ├── port/out/           # Driven ports (external service interfaces)
│   ├── service/            # Application services
│   └── dto/                # Request/response DTOs
├── infrastructure/
│   ├── persistence/        # JPA entities, repository adapters
│   └── external/           # External service adapters
└── adapter/
    └── rest/               # REST controllers

3. Implement the Domain Layer (Framework-Free)

The domain layer must have zero dependencies on Spring or any framework.

  • Use Java records for immutable value objects with built-in validation
  • Place business logic in entities, not services (Rich Domain Model)
  • Define repository interfaces (ports) in the domain layer
  • Use strongly-typed IDs to prevent ID confusion
  • Implement domain events for decoupling side effects
  • Use factory methods for entity creation to enforce invariants

4. Implement the Application Layer

  • Create use case interfaces (driving ports) in application/port/in/
  • Create external service interfaces (driven ports) in application/port/out/
  • Implement application services with @Service and @Transactional
  • Use DTOs for request/response, separate from domain models
  • Publish domain events after successful operations

5. Implement the Infrastructure Layer (Adapters)

  • Create JPA entities in infrastructure/persistence/
  • Implement repository adapters that map between domain and JPA entities
  • Use MapStruct or manual mappers for domain-JPA conversion
  • Configure conditional beans for swappable implementations
  • Keep infrastructure concerns isolated from domain logic

6. Implement the Adapter Layer (REST)

  • Create REST controllers in adapter/rest/
  • Inject use case interfaces, not implementations
  • Use Bean Validation on DTOs
  • Return proper HTTP status codes and responses
  • Handle exceptions with global exception handlers

7. Apply Best Practices

  1. Dependency Rule: Domain has zero dependencies on Spring or other frameworks
  2. Immutable Value Objects: Use Java records for value objects with built-in validation
  3. Rich Domain Models: Place business logic in entities, not services
  4. Repository Pattern: Domain defines interface, infrastructure implements
  5. Domain Events: Decouple side effects from primary operations
  6. Constructor Injection: Mandatory dependencies via final fields
  7. DTO Mapping: Separate domain models from API contracts
  8. Transaction Boundaries: Place @Transactional in application services
  9. Factory Methods: Use Entity.create() for invariant enforcement during construction
  10. Separate JPA Entities: Keep domain entities separate from JPA entities with mappers

8. Validate Architecture Compliance

After implementing each layer, verify the dependency rules are respected:

  • Domain Layer Check: Run grep -r "@Service\|@Component\|@Autowired" domain/ to ensure zero Spring imports
  • ArchUnit Test: Add dependency tests to verify no infrastructure imports in domain layer:
    noClasses().that().resideInPackage("..domain..")
        .should().accessClassesThat().resideInAnyPackage("..spring..", "..infrastructure..");
    
  • Entity Exposure Check: Verify JPA entities are never returned from domain services
  • Transaction Check: Confirm @Transactional only on application layer services, never on domain

9. Write Tests

  • Domain Tests: Pure unit tests without Spring context, fast execution
  • Application Tests: Unit tests with mocked ports using Mockito
  • Infrastructure Tests: Integration tests with @DataJpaTest and Testcontainers
  • Adapter Tests: Controller tests with @WebMvcTest

Examples

Example 1: Domain Layer - Entity with Domain Events

// domain/model/Order.java
public class Order {
    private final OrderId id;
    private final List<OrderItem> items;
    private Money total;
    private OrderStatus status;
    private final List<DomainEvent> domainEvents = new ArrayList<>();

    private Order(OrderId id, List<OrderItem> items) {
        this.id = id;
        this.items = new ArrayList<>(items);
        this.status = OrderStatus.PENDING;
        calculateTotal();
    }

    public static Order create(List<OrderItem> items) {
        validateItems(items);
        Order order = new Order(OrderId.generate(), items);
        order.domainEvents.add(new OrderCreatedEvent(order.id, order.total));
        return order;
    }

    public void confirm() {
        if (status != OrderStatus.PENDING) {
            throw new DomainException("Only pending orders can be confirmed");
        }
        this.status = OrderStatus.CONFIRMED;
    }

    public List<DomainEvent> getDomainEvents() {
        return List.copyOf(domainEvents);
    }

    public void clearDomainEvents() {
        domainEvents.clear();
    }
}

Example 2: Domain Layer - Value Object with Validation

// domain/model/Money.java (Value Object)
public record Money(BigDecimal amount, Currency currency) {
    public Money {
        if (amount.compareTo(BigDecimal.ZERO) < 0) {
            throw new DomainException("Amount cannot be negative");
        }
    }

    public static Money zero() {
        return new Money(BigDecimal.ZERO, Currency.getInstance("EUR"));
    }

    public Money add(Money other) {
        if (!this.currency.equals(other.currency)) {
            throw new DomainException("Currency mismatch");
        }
        return new Money(this.amount.add(other.amount), this.currency);
    
how to use clean-architecture

How to use clean-architecture on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add clean-architecture
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill clean-architecture

The skills CLI fetches clean-architecture from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/clean-architecture

Reload or restart Cursor to activate clean-architecture. Access the skill through slash commands (e.g., /clean-architecture) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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general reviews

Ratings

4.838 reviews
  • Isabella Iyer· Dec 28, 2024

    Keeps context tight: clean-architecture is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ganesh Mohane· Dec 20, 2024

    We added clean-architecture from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zaid Jain· Dec 4, 2024

    clean-architecture has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Liam Ramirez· Nov 23, 2024

    Solid pick for teams standardizing on skills: clean-architecture is focused, and the summary matches what you get after install.

  • Aditi Khanna· Nov 19, 2024

    clean-architecture is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Nov 11, 2024

    clean-architecture reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Henry Yang· Oct 14, 2024

    I recommend clean-architecture for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aarav Mehta· Oct 10, 2024

    clean-architecture reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Pratham Ware· Oct 2, 2024

    clean-architecture is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amina Yang· Sep 21, 2024

    Useful defaults in clean-architecture — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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