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Agent Skill · 待分类

spring-kafka(spring Kafka 测试)

用于辅助 Java 项目开发、面向对象设计、Spring 生态、Maven 或 Gradle 依赖和后端工程实践。它适合让 Agent 分析类结构、设计接口、整理服务分层、生成测试或检查常见代码坏味道。使用时需要结合项目已有架构、包结构和依赖版本,不应只按通用教程改代码;涉及数据库、事务、并发或框架配置时,应先确认运行环境和回归测试范围。

spring-kafka 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 4,658。

总安装 703周安装 29GitHub Stars 12下载 230核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:spring-kafka(spring Kafka 测试)
来源仓库:https://github.com/claude-dev-suite/claude-dev-suite
仓库路径:skills/spring-kafka
安装命令:
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill spring-kafka
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill spring-kafka

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

在 Spring 应用中集成 Apache Kafka 消息队列,实现解耦通信。适用于日志聚合、事件溯源或微服务间异步通知等场景。支持消费者组管理、偏移量控制和消息幂等处理机制。需关注分区策略、副本同步和生产者 ACK 级别配置。技能分类暂标记为待分类,具体用途待进一步明确。

spring-kafka 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/spring-kafka

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill spri…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

spring-kafka 怎么安装?

在终端执行 npx skills add https://github.com/claude-dev-suite/claude-dev-suite --skill spring-kafka。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

spring-kafka 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

spring-kafka 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

spring-kafka 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

spring-kafka 用的人多吗?

公开数据是累计安装 703 次,近一周安装 29 次,下载 230 次,GitHub 12 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

spring-kafka 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
spring-kafka

spring Kafka 测试 · 本页

70312调用外部服务未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Spring Kafka - Quick Reference

Deep Knowledge: Use mcp__documentation__fetch_docs with technology: kafka for comprehensive documentation.

Dependencies

<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
</dependency>

Configuration

application.yml

spring:
  kafka:
    bootstrap-servers: localhost:9092
    consumer:
      group-id: my-group
      auto-offset-reset: earliest
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.springframework.kafka.support.serializer.JsonDeserializer
      properties:
        spring.json.trusted.packages: "com.example.dto"
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.springframework.kafka.support.serializer.JsonSerializer
      acks: all
      properties:
        enable.idempotence: true
    listener:
      ack-mode: manual
      concurrency: 3

Producer Pattern

KafkaTemplate

@Service
@RequiredArgsConstructor
public class OrderProducer {

    private final KafkaTemplate<String, OrderEvent> kafkaTemplate;

    public void sendOrder(OrderEvent event) {
        kafkaTemplate.send("orders", event.getOrderId(), event)
            .whenComplete((result, ex) -> {
                if (ex != null) {
                    log.error("Failed to send order: {}", event.getOrderId(), ex);
                } else {
                    log.info("Order sent: {} to partition {}",
                        event.getOrderId(),
                        result.getRecordMetadata().partition());
                }
            });
    }

    // With headers
    public void sendWithHeaders(OrderEvent event, String correlationId) {
        ProducerRecord<String, OrderEvent> record = new ProducerRecord<>(
            "orders", event.getOrderId(), event);
        record.headers()
            .add("correlation-id", correlationId.getBytes())
            .add("source", "order-service".getBytes());

        kafkaTemplate.send(record);
    }
}

Transactional Producer

@Configuration
public class KafkaConfig {

    @Bean
    public ProducerFactory<String, Object> producerFactory() {
        Map<String, Object> config = new HashMap<>();
        config.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        config.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, "tx-");
        config.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, true);
        return new DefaultKafkaProducerFactory<>(config);
    }

    @Bean
    public KafkaTemplate<String, Object> kafkaTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }

    @Bean
    public KafkaTransactionManager<String, Object> kafkaTransactionManager() {
        return new KafkaTransactionManager<>(producerFactory());
    }
}

@Service
@Transactional("kafkaTransactionManager")
public class TransactionalProducer {

    public void sendMultiple(List<OrderEvent> events) {
        events.forEach(e -> kafkaTemplate.send("orders", e.getId(), e));
    }
}

Consumer Patterns

Basic @KafkaListener

@Service
@RequiredArgsConstructor
public class OrderConsumer {

    @KafkaListener(topics = "orders", groupId = "order-processor")
    public void consume(
            @Payload OrderEvent event,
            @Header(KafkaHeaders.RECEIVED_KEY) String key,
            @Header(KafkaHeaders.RECEIVED_PARTITION) int partition,
            @Header(KafkaHeaders.OFFSET) long offset,
            Acknowledgment ack) {

        log.info("Received order: {} from partition {} offset {}",
            event.getOrderId(), partition, offset);

        try {
            processOrder(event);
            ack.acknowledge();
        } catch (Exception e) {
            log.error("Failed to process order: {}", event.getOrderId(), e);
            throw e; // Will trigger retry
        }
    }
}

Batch Consumer

@KafkaListener(
    topics = "orders",
    groupId = "batch-processor",
    containerFactory = "batchKafkaListenerContainerFactory"
)
public void consumeBatch(
        List<OrderEvent> events,
        @Header(KafkaHeaders.RECEIVED_PARTITION) List<Integer> partitions,
        Acknowledgment ack) {

    log.info("Received batch of {} orders", events.size());
    processBatch(events);
    ack.acknowledge();
}

@Bean
public ConcurrentKafkaListenerContainerFactory<String, OrderEvent> batchKafkaListenerContainerFactory() {
    ConcurrentKafkaListenerContainerFactory<String, OrderEvent> factory =
        new ConcurrentKafkaListenerContainerFactory<>();
    factory.setConsumerFactory(consumerFactory());
    factory.setBatchListener(true);
    factory.getContainerProperties().setAckMode(AckMode.MANUAL);
    return factory;
}

Class-Level Listener

@KafkaListener(topics = "orders", groupId = "order-handler")
@Service
public class OrderHandler {

    @KafkaHandler
    public void handleCreated(OrderCreatedEvent event) {
        // Handle order created
    }

    @KafkaHandler
    public void handleUpdated(OrderUpdatedEvent event) {
        // Handle order updated
    }

    @KafkaHandler(isDefault = true)
    public void handleDefault(Object event) {
        log.warn("Unknown event type: {}", event.getClass());
    }
}

Retry Topics (Spring Kafka 3.x)

@RetryableTopic

@RetryableTopic(
    attempts = "3",
    backoff = @Backoff(delay = 1000, multiplier = 2.0, maxDelay = 10000),
    dltStrategy = DltStrategy.FAIL_ON_ERROR,
    autoCreateTopics = "true",
    topicSuffixingStrategy = TopicSuffixingStrategy.SUFFIX_WITH_INDEX_VALUE
)
@KafkaListener(topics = "orders", groupId = "retry-consumer")
public void consumeWithRetry(OrderEvent event, Acknowledgment ack) {
    processOrder(event);
    ack.acknowledge();
}

@DltHandler
public void handleDlt(OrderEvent event,
        @Header(KafkaHeaders.RECEIVED_TOPIC) String topic,
        @Header(KafkaHeaders.EXCEPTION_MESSAGE) String errorMessage) {

    log.error("DLT received: {} from {} - error: {}",
        event.getOrderId(), topic, errorMessage);
    // Store in database for manual review
    failedOrderRepository.save(new FailedOrder(event, errorMessage));
}

Manual Retry Configuration

@Configuration
@EnableKafka
public class KafkaRetryConfig {

    @Bean
    public RetryTopicConfiguration retryTopicConfiguration(KafkaTemplate<String, Object> template) {
        return RetryTopicConfigurationBuilder
            .newInstance()
            .maxAttempts(4)
            .fixedBackOff(3000)
            .includeTopic("orders")
            .doNotAutoCreateRetryTopics()
            .create(template);
    }
}

Error Handling

Custom Error Handler

@Bean
public DefaultErrorHandler errorHandler(KafkaTemplate<String, Object> template) {
    // Send to DLT after 3 retries
    DeadLetterPublishingRecoverer recoverer = new DeadLetterPublishingRecoverer(template,
        (record, ex) -> new TopicPartition(record.topic() + ".DLT", record.partition()));

    DefaultErrorHandler handler = new DefaultErrorHandler(recoverer,
        new FixedBackOff(1000L, 3L));

    // Don't retry for these exceptions
    handler.addNotRetryableExceptions(
        ValidationException.class,
        DeserializationException.class
    );

    return handler;
}

@Bean
public ConcurrentKafkaListenerContainerFactory<String, Object> kafkaListenerContainerFactory() {
    ConcurrentKafkaListenerContainerFactory<String, Object> factory =
        new ConcurrentKafkaListenerContainerFactory<>();
    factory.setConsumerFactory(consumerFactory());
    factory.setCommonErrorHandler(errorHandler(kafkaTemplate()));
    return factory;
}

Testing

@EmbeddedKafka

@SpringBootTest
@EmbeddedKafka(partitions = 1, topics = {"orders"})
class OrderProducerTest {

    @Autowired
    private EmbeddedKafkaBroker embeddedKafka;

    @Autowired
    private OrderProducer orderProducer;

    @Test
    void shouldSendOrder() throws Exception {
        OrderEvent event = new OrderEvent("123", "CREATED");

        Map<String, Object> consumerProps = KafkaTestUtils.consumerProps(
            "test-group", "true", embeddedKafka);
        ConsumerFactory<String, OrderEvent> cf = new DefaultKafkaConsumerFactory<>(consumerProps);
        Consumer<String, OrderEvent> consumer = cf.createConsumer();
        embeddedKafka.consumeFromAnEmbeddedTopic(consumer, "orders");

        orderProducer.sendOrder(event);

        ConsumerRecord<String, OrderEvent> record = KafkaTestUtils.getSingleRecord(consumer, "orders");
        assertThat(record.value().getOrderId()).isEqualTo("123");
    }
}

Consumer Test with CountDownLatch

@SpringBootTest
@EmbeddedKafka(partitions = 1, topics = {"orders"})
class OrderConsumerTest {

    @SpyBean
    private OrderConsumer orderConsumer;

    @Autowired
    private EmbeddedKafkaBroker embeddedKafka;

    @Test
    void shouldConsumeAndProcessOrder() throws Exception {
        CountDownLatch latch = new CountDownLatch(1);
        doAnswer(inv -> { inv.callRealMethod(); latch.countDown(); return null; })
            .when(orderConsumer).consume(any(), any());

        Map<String, Object> props = KafkaTestUtils.producerProps(embeddedKafka);
        KafkaTemplate<String, String> template = new KafkaTemplate<>(
            new DefaultKafkaProducerFactory<>(props));
        template.send("orders", "{\"orderId\":\"456\",\"status\":\"CREATED\"}");

        assertThat(latch.await(10, TimeUnit.SECONDS)).isTrue();
        verify(orderConsumer).consume(any(), any());
    }
}

Testcontainers

@SpringBootTest
@Testcontainers
class OrderIntegrationTest {

    @Container
    @ServiceConnection
    static KafkaContainer kafka = new KafkaContainer(
        DockerImageName.parse("apache/kafka-native:3.8.0"));

    @Autowired
    private KafkaTemplate<String, OrderEvent> kafkaTemplate;

    @Autowired
    private OrderRepository orderRepository;

    @Test
    void shouldProcessOrderEndToEnd() throws Exception {
        kafkaTemplate.send("orders", "key-1",
            new OrderEvent("789", "CREATED")).get(10, TimeUnit.SECONDS);

        await().atMost(Duration.ofSeconds(10))
            .untilAsserted(() -> {
                Optional<Order> order = orderRepository.findById("789");
                assertThat(order).isPresent();
                assertThat(order.get().getStatus()).isEqualTo("CREATED");
            });
    }
}
Deep dive: For MockConsumer/MockProducer, @EmbeddedKafka advanced patterns, and Node.js/Python Kafka testing, see the messaging-testing-kafka skill.

Best Practices

DoDon't
Use acks=all for durabilityUse acks=0 in production
Enable idempotenceIgnore duplicate messages
Configure DLT for failuresSilently drop failed messages
Use manual acknowledgmentAuto-commit without processing
Set proper deserializer trustTrust all packages

Production Checklist

  • acks=all configured
  • Idempotence enabled
  • Consumer group ID set
  • Manual acknowledgment mode
  • Retry topics configured
  • DLT handler implemented
  • Error handler configured
  • Proper serializers set
  • Trusted packages configured
  • Monitoring metrics exposed

When NOT to Use This Skill

  • Raw Kafka - Use kafka skill for broker config
  • RabbitMQ - Use spring-amqp instead
  • Simple messaging - Consider Spring Events
  • Kafka Streams - May need additional skill

Anti-Patterns

Anti-PatternProblemSolution
Auto commitMessage lossUse manual ack
No error handlerSilent failuresConfigure error handler
No DLTLost failed messagesAdd dead letter topic
Blocking in listenerConsumer lagUse async processing
Wrong deserializerErrors on consumeMatch producer serializer
No idempotencyDuplicate processingImplement idempotent consumer

Quick Troubleshooting

ProblemDiagnosticFix
Consumer not receivingCheck group.idVerify consumer group
Serialization errorCheck value typeConfigure correct deserializer
Rebalancing oftenCheck session.timeoutIncrease timeout
Consumer lagCheck processing timeOptimize or scale consumers
Messages in DLTCheck error logsFix processing error

Reference Documentation

平台分布

Codex

34.84%
按下载量换算80

Claude

31.7%
按下载量换算73

Cursor

16.99%
按下载量换算39

Gemini CLI

9.89%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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