Agent skill

Spring Boot Resilience4j

by giuseppe-trisciuoglio in giuseppe-trisciuoglio/developer-kit

Provides fault tolerance patterns for Spring Boot 3.x using Resilience4j.

MITAuto-check: notesBackend & APIs

Install Spring Boot Resilience4j

skills CLI
$ npx skills add giuseppe-trisciuoglio/developer-kit --skill spring-boot-resilience4j -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install giuseppe-trisciuoglio/developer-kit spring-boot-resilience4j --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/developer-kit-java/skills/spring-boot-resilience4j .claude/skills/spring-boot-resilience4j && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
spring-boot-resilience4j
GitHub stars
357
Token cost
~3.5k tokens
SKILL.md length
539 words
Files
4 (incl. references)
Skills in repo
115
Repo updated
First seen
Licence
MIT

At a glance

Provides fault tolerance patterns for Spring Boot 3.x using Resilience4j.

  • Works in 8 steps: Setup and Dependencies → Circuit Breaker Pattern → Retry Pattern → …
  • Implementing circuit breakers
  • SKILL.md covers Overview, When to Use, Instructions and Best Practices, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Spring Boot Resilience4j is an agent skill from giuseppe-trisciuoglio/developer-kit. Provides fault tolerance patterns for Spring Boot 3.x using Resilience4j. Use when implementing circuit breakers, handling service failures, adding retry logic with exponential backoff, configuring rate limiters, or protecting services from cascading failures. Generates circuit breaker, retry, rate limiter, bulkhead, time limiter, and fallback implementations. Validates resilience configurations through Actuator endpoints.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/configuration-reference.md`, `references/examples.md` and `references/testing-patterns.md`).

It sits in Backend & APIs, covering Backend development and Error handling. It works with Spring Boot. The repository describes itself as: Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI. The licence is MIT.

When your agent uses it

  • Implementing circuit breakers
  • Handling service failures
  • Adding retry logic with exponential backoff
  • Configuring rate limiters

Example prompts

  • “Use the spring-boot-resilience4j skill to provide fault tolerance patterns for Spring Boot 3.x using Resilience4j”
  • “/spring-boot-resilience4j”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Setup and Dependencies
  2. Circuit Breaker Pattern
  3. Retry Pattern
  4. Rate Limiter Pattern
  5. Bulkhead Pattern
  6. Time Limiter Pattern
  7. Combining Multiple Patterns
  8. Exception Handling and Monitoring

What it can do on your machine

Read from SKILL.md and the folder at commit fe73fb3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are java, yaml, xml and gradle).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • resilience4j.readme.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Spring Boot Resilience4j loads about 3.5k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 539 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~113
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from giuseppe-trisciuoglio/developer-kit at commit fe73fb3, republished under its MIT licence (© giuseppe-trisciuoglio). 539 words, ~3,525 tokens.

Download SKILL.mdSave it as .claude/skills/spring-boot-resilience4j/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
spring-boot-resilience4j
description
Provides fault tolerance patterns for Spring Boot 3.x using Resilience4j. Use when implementing circuit breakers, handling service failures, adding retry logic with exponential backoff, configuring rate limiters, or protecting services from cascading failures. Generates circuit breaker, retry, rate limiter, bulkhead, time limiter, and fallback implementations. Validates resilience configurations through Actuator endpoints.
allowed-tools
Read, Write, Edit, Bash

Spring Boot Resilience4j Patterns

Overview

Provides Resilience4j patterns (circuit breaker, retry, rate limiter, bulkhead, time limiter, fallback) for Spring Boot 3.x fault tolerance with configuration and testing workflows.

When to Use

  • Implementing fault tolerance and preventing cascading failures
  • Adding circuit breakers, retry logic, or rate limiting to service calls
  • Handling transient failures with exponential backoff
  • Protecting services from overload and resource exhaustion
  • Combining multiple patterns for comprehensive resilience

Instructions

1. Setup and Dependencies

Add Resilience4j dependencies to your project. For Maven, add to pom.xml:

xml
<dependency>
    <groupId>io.github.resilience4j</groupId>
    <artifactId>resilience4j-spring-boot3</artifactId>
    <version>2.2.0</version> // Use latest stable version
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-aop</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>

For Gradle, add to build.gradle:

gradle
implementation "io.github.resilience4j:resilience4j-spring-boot3:2.2.0"
implementation "org.springframework.boot:spring-boot-starter-aop"
implementation "org.springframework.boot:spring-boot-starter-actuator"

Enable AOP annotation processing with @EnableAspectJAutoProxy (auto-configured by Spring Boot).

2. Circuit Breaker Pattern

Apply @CircuitBreaker annotation to methods calling external services:

java
@Service
public class PaymentService {
    private final RestTemplate restTemplate;

    public PaymentService(RestTemplate restTemplate) {
        this.restTemplate = restTemplate;
    }

    @CircuitBreaker(name = "paymentService", fallbackMethod = "paymentFallback")
    public PaymentResponse processPayment(PaymentRequest request) {
        return restTemplate.postForObject("http://payment-api/process",
            request, PaymentResponse.class);
    }

    private PaymentResponse paymentFallback(PaymentRequest request, Exception ex) {
        return PaymentResponse.builder()
            .status("PENDING")
            .message("Service temporarily unavailable")
            .build();
    }
}

Configure in application.yml:

yaml
resilience4j:
  circuitbreaker:
    configs:
      default:
        registerHealthIndicator: true
        slidingWindowSize: 10
        minimumNumberOfCalls: 5
        failureRateThreshold: 50
        waitDurationInOpenState: 10s
    instances:
      paymentService:
        baseConfig: default

See @references/configuration-reference.md for complete circuit breaker configuration options.

3. Retry Pattern

Apply @Retry annotation for transient failure recovery:

java
@Service
public class ProductService {
    private final RestTemplate restTemplate;

    public ProductService(RestTemplate restTemplate) {
        this.restTemplate = restTemplate;
    }

    @Retry(name = "productService", fallbackMethod = "getProductFallback")
    public Product getProduct(Long productId) {
        return restTemplate.getForObject(
            "http://product-api/products/" + productId,
            Product.class);
    }

    private Product getProductFallback(Long productId, Exception ex) {
        return Product.builder()
            .id(productId)
            .name("Unavailable")
            .available(false)
            .build();
    }
}

Configure retry in application.yml:

yaml
resilience4j:
  retry:
    configs:
      default:
        maxAttempts: 3
        waitDuration: 500ms
        enableExponentialBackoff: true
        exponentialBackoffMultiplier: 2
    instances:
      productService:
        baseConfig: default
        maxAttempts: 5

See @references/configuration-reference.md for retry exception configuration.

4. Rate Limiter Pattern

Apply @RateLimiter to control request rates:

java
@Service
public class NotificationService {
    private final EmailClient emailClient;

    public NotificationService(EmailClient emailClient) {
        this.emailClient = emailClient;
    }

    @RateLimiter(name = "notificationService",
        fallbackMethod = "rateLimitFallback")
    public void sendEmail(EmailRequest request) {
        emailClient.send(request);
    }

    private void rateLimitFallback(EmailRequest request, Exception ex) {
        throw new RateLimitExceededException(
            "Too many requests. Please try again later.");
    }
}

Configure in application.yml:

yaml
resilience4j:
  ratelimiter:
    configs:
      default:
        registerHealthIndicator: true
        limitForPeriod: 10
        limitRefreshPeriod: 1s
        timeoutDuration: 500ms
    instances:
      notificationService:
        baseConfig: default
        limitForPeriod: 5
5. Bulkhead Pattern

Apply @Bulkhead to isolate resources. Use type = SEMAPHORE for synchronous methods:

java
@Service
public class ReportService {
    private final ReportGenerator reportGenerator;

    public ReportService(ReportGenerator reportGenerator) {
        this.reportGenerator = reportGenerator;
    }

    @Bulkhead(name = "reportService", type = Bulkhead.Type.SEMAPHORE)
    public Report generateReport(ReportRequest request) {
        return reportGenerator.generate(request);
    }
}

Use type = THREADPOOL for async/CompletableFuture methods:

java
@Service
public class AnalyticsService {
    @Bulkhead(name = "analyticsService", type = Bulkhead.Type.THREADPOOL)
    public CompletableFuture<AnalyticsResult> runAnalytics(
            AnalyticsRequest request) {
        return CompletableFuture.supplyAsync(() ->
            analyticsEngine.analyze(request));
    }
}

Configure in application.yml:

yaml
resilience4j:
  bulkhead:
    configs:
      default:
        maxConcurrentCalls: 10
        maxWaitDuration: 100ms
    instances:
      reportService:
        baseConfig: default
        maxConcurrentCalls: 5

  thread-pool-bulkhead:
    instances:
      analyticsService:
        maxThreadPoolSize: 8
6. Time Limiter Pattern

Apply @TimeLimiter to async methods to enforce timeout boundaries:

java
@Service
public class SearchService {
    @TimeLimiter(name = "searchService", fallbackMethod = "searchFallback")
    public CompletableFuture<SearchResults> search(SearchQuery query) {
        return CompletableFuture.supplyAsync(() ->
            searchEngine.executeSearch(query));
    }

    private CompletableFuture<SearchResults> searchFallback(
            SearchQuery query, Exception ex) {
        return CompletableFuture.completedFuture(
            SearchResults.empty("Search timed out"));
    }
}

Configure in application.yml:

yaml
resilience4j:
  timelimiter:
    configs:
      default:
        timeoutDuration: 2s
        cancelRunningFuture: true
    instances:
      searchService:
        baseConfig: default
        timeoutDuration: 3s
7. Combining Multiple Patterns

Stack multiple patterns on a single method for comprehensive fault tolerance:

java
@Service
public class OrderService {
    @CircuitBreaker(name = "orderService")
    @Retry(name = "orderService")
    @RateLimiter(name = "orderService")
    @Bulkhead(name = "orderService")
    public Order createOrder(OrderRequest request) {
        return orderClient.createOrder(request);
    }
}

Execution order: Retry → CircuitBreaker → RateLimiter → Bulkhead → Method

All patterns should reference the same named configuration instance for consistency.

8. Exception Handling and Monitoring

Create a global exception handler using @RestControllerAdvice:

java
@RestControllerAdvice
public class ResilienceExceptionHandler {

    @ExceptionHandler(CallNotPermittedException.class)
    @ResponseStatus(HttpStatus.SERVICE_UNAVAILABLE)
    public ErrorResponse handleCircuitOpen(CallNotPermittedException ex) {
        return new ErrorResponse("SERVICE_UNAVAILABLE",
            "Service currently unavailable");
    }

    @ExceptionHandler(RequestNotPermitted.class)
    @ResponseStatus(HttpStatus.TOO_MANY_REQUESTS)
    public ErrorResponse handleRateLimited(RequestNotPermitted ex) {
        return new ErrorResponse("TOO_MANY_REQUESTS",
            "Rate limit exceeded");
    }

    @ExceptionHandler(BulkheadFullException.class)
    @ResponseStatus(HttpStatus.SERVICE_UNAVAILABLE)
    public ErrorResponse handleBulkheadFull(BulkheadFullException ex) {
        return new ErrorResponse("CAPACITY_EXCEEDED",
            "Service at capacity");
    }
}

Enable Actuator endpoints for monitoring resilience patterns in application.yml:

yaml
management:
  endpoints:
    web:
      exposure:
        include: health,metrics,circuitbreakers,retries,ratelimiters
  endpoint:
    health:
      show-details: always
  health:
    circuitbreakers:
      enabled: true
    ratelimiters:
      enabled: true

Access monitoring endpoints:

  • GET /actuator/health - Overall health including resilience patterns
  • GET /actuator/circuitbreakers - Circuit breaker states
  • GET /actuator/metrics - Custom resilience metrics
Testing & Verification Workflow
  1. Circuit Breaker: Call endpoint with failures → check GET /actuator/circuitbreakers shows OPEN → wait waitDurationInOpenState → verify state transitions to HALF_OPEN → CLOSED

  2. Retry: Enable resilience4j.retry.metrics.enabled: true → invoke endpoint → verify retry.{instance}.successful-calls-with-retry-attempts metric increases

  3. Rate Limiter: Send requests exceeding limitForPeriod → verify 429 status → check GET /actuator/ratelimiters shows LIMITED

  4. Bulkhead: Load test with concurrent requests exceeding maxConcurrentCalls → verify excess requests fail immediately with BulkheadFullException

  5. Time Limiter: Mock async delay beyond timeoutDuration → verify fallback triggers after timeout

See @references/testing-patterns.md for unit and integration testing strategies.

Show full SKILL.md (185 more words)Show less

Best Practices

  • Provide fallback methods: Ensure graceful degradation with meaningful responses
  • Use exponential backoff: Prevent overwhelming recovering services (exponentialBackoffMultiplier: 2)
  • Set appropriate thresholds: failureRateThreshold between 50-70%
  • Use constructor injection: Never use field injection for Resilience4j dependencies
  • Enable health indicators: Set registerHealthIndicator: true for all patterns
  • Retry only transient errors: Network timeouts, 5xx; skip 4xx and business exceptions
  • Size bulkheads based on load: Calculate thread pool and semaphore sizes from expected concurrency
  • Document fallback behavior: Make fallback logic clear and predictable

Constraints and Warnings

  • Fallback methods must have the same signature plus an optional exception parameter
  • Circuit breaker state is per-instance; ensure proper bean scoping in multi-tenant scenarios
  • Retry operations must be idempotent (may execute multiple times)
  • Do not use circuit breakers for operations that must always complete; use timeouts instead
  • Rate limiters can cause thread blocking; configure appropriate wait durations
  • Be cautious with @Retry on non-idempotent operations like POST requests
  • Monitor memory when using thread pool bulkheads with high concurrency

Examples

Before → After: Circuit Breaker
java
// BEFORE: No protection
public PaymentResponse processPayment(PaymentRequest request) {
    return restTemplate.postForObject("http://payment-api/process", request, PaymentResponse.class);
}

// AFTER: Circuit breaker with fallback
@CircuitBreaker(name = "paymentService", fallbackMethod = "paymentFallback")
public PaymentResponse processPayment(PaymentRequest request) {
    return restTemplate.postForObject("http://payment-api/process", request, PaymentResponse.class);
}
private PaymentResponse paymentFallback(PaymentRequest request, Exception ex) {
    return PaymentResponse.builder().status("PENDING").message("Service temporarily unavailable").build();
}
Before → After: Retry with Backoff
java
// BEFORE: Single attempt
public Order getOrder(Long orderId) {
    return orderRepository.findById(orderId).orElseThrow(() -> new OrderNotFoundException(orderId));
}

// AFTER: Retry with exponential backoff
@Retry(name = "orderService", maxAttempts = 3, waitDuration = @WaitDuration(500L), fallbackMethod = "getOrderFallback")
public Order getOrder(Long orderId) {
    return orderRepository.findById(orderId).orElseThrow(() -> new OrderNotFoundException(orderId));
}
private Order getOrderFallback(Long orderId, Exception ex) { return Order.cachedOrder(orderId); }
Before → After: Rate Limiting
java
// BEFORE: Unbounded requests
@GetMapping("/api/data") public Data fetchData() { return dataService.process(); }

// AFTER: Rate limited
@RateLimiter(name = "dataService", fallbackMethod = "rateLimitFallback")
@GetMapping("/api/data") public Data fetchData() { return dataService.process(); }
private ResponseEntity<ErrorResponse> rateLimitFallback(Exception ex) {
    return ResponseEntity.status(429).body(new ErrorResponse("TOO_MANY_REQUESTS", "Rate limit exceeded"));
}

See also: Configuration Reference · Testing Patterns · Examples · Resilience4j Docs · Actuator Skill

© giuseppe-trisciuoglio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in plugins/developer-kit-java/skills/spring-boot-resilience4j of giuseppe-trisciuoglio/developer-kit.

  • SKILL.md
  • references/configuration-reference.md
  • references/examples.md
  • references/testing-patterns.md

Open the folder on GitHubat commit fe73fb3

Compare with similar skills

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Works with

Categories

Questions about Spring Boot Resilience4j

What does Spring Boot Resilience4j do?

Provides fault tolerance patterns for Spring Boot 3.x using Resilience4j. Spring Boot Resilience4j is an agent skill from giuseppe-trisciuoglio/developer-kit.x using Resilience4j.

When should I use Spring Boot Resilience4j?

Spring Boot Resilience4j fits situations like: implementing circuit breakers; handling service failures; adding retry logic with exponential backoff; configuring rate limiters.

How do I install Spring Boot Resilience4j in Claude Code?

Run `npx skills add giuseppe-trisciuoglio/developer-kit --skill spring-boot-resilience4j -a claude-code`. Or copy the skill folder (plugins/developer-kit-java/skills/spring-boot-resilience4j in giuseppe-trisciuoglio/developer-kit) into .claude/skills/spring-boot-resilience4j in your project. Claude Code loads it when a task matches its description.

How do I install Spring Boot Resilience4j in Codex?

Run `npx skills add giuseppe-trisciuoglio/developer-kit --skill spring-boot-resilience4j -a codex`. Or copy the skill folder (plugins/developer-kit-java/skills/spring-boot-resilience4j in giuseppe-trisciuoglio/developer-kit) into .agents/skills/spring-boot-resilience4j in your project. Codex loads it when a task matches its description.

Can I use Spring Boot Resilience4j in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add giuseppe-trisciuoglio/developer-kit --skill spring-boot-resilience4j -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/spring-boot-resilience4j, .gemini/skills/spring-boot-resilience4j, .github/skills/spring-boot-resilience4j and .opencode/skills/spring-boot-resilience4j in your project.

What does Spring Boot Resilience4j need to run?

SKILL.md names no scripts, command-line tools or credentials: Spring Boot Resilience4j is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash.

Does Spring Boot Resilience4j access the network?

SKILL.md names 1 domain. As links in the text: resilience4j.readme.io. This is read from the text; nothing was executed.

Is Spring Boot Resilience4j safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Spring Boot Resilience4j use?

Spring Boot Resilience4j is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Spring Boot Resilience4j use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.5k tokens, read only when the agent opens those files.

What are the alternatives to Spring Boot Resilience4j?

Skills that share tags, products or a category with Spring Boot Resilience4j: Spring Boot Patterns (decebals/claude-code-java, 751 stars), Restclient Migration (benchflow-ai/skillsbench, 1.8k stars), Node Backend Development Guidelines (diet103/claude-code-infrastructure-showcase, 10k stars) and cmux Backend Rules (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Spring Boot Resilience4j?

giuseppe-trisciuoglio (a GitHub user) maintains it in giuseppe-trisciuoglio/developer-kit, which has 357 GitHub stars. The repository holds 115 skills in this directory. The repository was last updated on September 10, 2026.

Source: giuseppe-trisciuoglio/developer-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.