java-microservices

pluginagentmarketplace/custom-plugin-java · updated Apr 8, 2026

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$npx skills add https://github.com/pluginagentmarketplace/custom-plugin-java --skill java-microservices
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summary

Build production microservices with Spring Cloud and distributed system patterns.

skill.md

Java Microservices Skill

Build production microservices with Spring Cloud and distributed system patterns.

Overview

This skill covers microservices architecture with Spring Cloud including service discovery, API gateway, circuit breakers, event-driven communication, and distributed tracing.

When to Use This Skill

Use when you need to:

  • Design microservices architecture
  • Implement service-to-service communication
  • Configure resilience patterns
  • Set up event-driven messaging
  • Add distributed tracing

Topics Covered

Spring Cloud Components

  • Config Server (centralized config)
  • Service Discovery (Eureka, Consul)
  • API Gateway (Spring Cloud Gateway)
  • Load Balancing (Spring Cloud LoadBalancer)

Resilience Patterns

  • Circuit Breaker (Resilience4j)
  • Retry with backoff
  • Bulkhead isolation
  • Rate limiting

Event-Driven Architecture

  • Apache Kafka integration
  • Spring Cloud Stream
  • Saga pattern
  • Event sourcing basics

Observability

  • Distributed tracing (Micrometer)
  • Metrics (Prometheus)
  • Log correlation

Quick Reference

// Saga with Choreography
@Component
public class OrderSagaListener {

    @KafkaListener(topics = "order.created")
    public void handleOrderCreated(OrderCreatedEvent event) {
        inventoryService.reserve(event.getItems());
    }

    @KafkaListener(topics = "payment.failed")
    public void handlePaymentFailed(PaymentFailedEvent event) {
        // Compensating transaction
        inventoryService.release(event.getOrderId());
        orderService.cancel(event.getOrderId());
    }
}

// Circuit Breaker Configuration
@Configuration
public class ResilienceConfig {

    @Bean
    public Customizer<Resilience4JCircuitBreakerFactory> cbCustomizer() {
        return factory -> factory.configureDefault(id ->
            new Resilience4JConfigBuilder(id)
                .circuitBreakerConfig(CircuitBreakerConfig.custom()
                    .failureRateThreshold(50)
                    .waitDurationInOpenState(Duration.ofSeconds(30))
                    .slidingWindowSize(10)
                    .build())
                .build());
    }
}

// API Gateway Routes
@Configuration
public class GatewayConfig {

    @Bean
    public RouteLocator routes(RouteLocatorBuilder builder) {
        return builder.routes()
            .route("orders", r -> r
                .path("/api/orders/**")
                .filters(f -> f
                    .stripPrefix(1)
                    .circuitBreaker(c -> c.setName("order-cb"))
                    .retry(retry -> retry.setRetries(3)))
                .uri("lb://order-service"))
            .build();
    }
}

Observability Configuration

management:
  tracing:
    sampling:
      probability: 1.0
  endpoints:
    web:
      exposure:
        include: health,info,metrics,prometheus

logging:
  pattern:
    level: "%5p [${spring.application.name:},%X{traceId:-},%X{spanId:-}]"

Common Patterns

Saga Pattern

Order → Inventory → Payment → (Success | Compensate)

Circuit Breaker States

CLOSED → (failures exceed threshold) → OPEN
OPEN → (wait duration) → HALF_OPEN
HALF_OPEN → (success) → CLOSED
HALF_OPEN → (failure) → OPEN

Troubleshooting

Common Issues

Problem Cause Solution
Cascade failure No circuit breaker Add Resilience4j
Message lost No ack Enable manual ack
Inconsistent data No compensation Implement saga
Service not found Discovery delay Tune heartbeat

Debug Checklist

□ Trace request (traceId)
□ Check circuit breaker state
□ Verify Kafka consumer lag
□ Review gateway routes
□ Monitor retry counts

Usage

Skill("java-microservices")

Related Skills

  • java-spring-boot - Spring Cloud
  • java-docker - Containerization
how to use java-microservices

How to use java-microservices 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 java-microservices
2

Execute installation command

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

$npx skills add https://github.com/pluginagentmarketplace/custom-plugin-java --skill java-microservices

The skills CLI fetches java-microservices from GitHub repository pluginagentmarketplace/custom-plugin-java 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/java-microservices

Reload or restart Cursor to activate java-microservices. Access the skill through slash commands (e.g., /java-microservices) 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.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.543 reviews
  • Pratham Ware· Dec 28, 2024

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

  • Layla Dixit· Dec 28, 2024

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

  • Lucas Rao· Dec 20, 2024

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

  • Advait White· Dec 8, 2024

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

  • Kwame Iyer· Nov 27, 2024

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

  • Sakshi Patil· Nov 19, 2024

    java-microservices fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Camila Singh· Nov 11, 2024

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

  • Anaya Menon· Nov 7, 2024

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

  • Liam Zhang· Oct 26, 2024

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

  • Noor Sethi· Oct 18, 2024

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

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