
aws-sdk-java-v2-messaging
Provides AWS messaging patterns using AWS SDK for Java 2.x for SQS queues and SNS topics. Handles sending/receiving messages, FIFO queues, DLQ, subscriptions, and pub/sub patterns. Use when implementing messaging with SQS or SNS.
- Installs
- 3.7K
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-sdk-java-v2-messaging- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads aws-sdk-java-v2-messaging automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
AWS SDK for Java 2.x - Messaging (SQS & SNS)
Overview
Provides patterns for SQS queues and SNS topics with AWS SDK for Java 2.x: client setup, queue management, message operations, subscriptions, and Spring Boot integration.
When to Use
- Setting up SQS queues (standard or FIFO) for message buffering
- Implementing pub/sub with SNS topics and subscriptions
- Processing messages from SQS queues with long polling
- Configuring dead letter queues (DLQ) for error handling
- Integrating AWS messaging with Spring Boot applications
- Building event-driven architectures with SQS/SNS
Examples
Quick Setup
Dependencies:
<dependency>
<groupId>software.amazon.awssdk</groupId>
<artifactId>sqs</artifactId>
</dependency>
<dependency>
<groupId>software.amazon.awssdk</groupId>
<artifactId>sns</artifactId>
</dependency>
Client Configuration:
SqsClient sqsClient = SqsClient.builder()
.region(Region.US_EAST_1)
.credentialsProvider(DefaultCredentialsProvider.create())
.build();
SnsClient snsClient = SnsClient.builder()
.region(Region.US_EAST_1)
.build();
SQS Operations
Create and Send Message:
String queueUrl = sqsClient.createQueue(CreateQueueRequest.builder()
.queueName("my-queue")
.build()).queueUrl();
String messageId = sqsClient.sendMessage(SendMessageRequest.builder()
.queueUrl(queueUrl)
.messageBody("Hello, SQS!")
.build()).messageId();
Receive and Delete Message:
ReceiveMessageResponse response = sqsClient.receiveMessage(ReceiveMessageRequest.builder()
.queueUrl(queueUrl)
.maxNumberOfMessages(10)
.waitTimeSeconds(20)
.build());
response.messages().forEach(message -> {
processMessage(message.body());
sqsClient.deleteMessage(DeleteMessageRequest.builder()
.queueUrl(queueUrl)
.receiptHandle(message.receiptHandle())
.build());
});
FIFO Queue:
Map<QueueAttributeName, String> attributes = Map.of(
QueueAttributeName.FIFO_QUEUE, "true",
QueueAttributeName.CONTENT_BASED_DEDUPLICATION, "true"
);
String fifoQueueUrl = sqsClient.createQueue(CreateQueueRequest.builder()
.queueName("my-queue.fifo")
.attributes(attributes)
.build()).queueUrl();
sqsClient.sendMessage(SendMessageRequest.builder()
.queueUrl(fifoQueueUrl)
.messageBody("Order #12345")
.messageGroupId("orders")
.messageDeduplicationId(UUID.randomUUID().toString())
.build());
SNS Operations
Create Topic and Publish:
String topicArn = snsClient.createTopic(CreateTopicRequest.builder()
.name("my-topic")
.build()).topicArn();
snsClient.publish(PublishRequest.builder()
.topicArn(topicArn)
.subject("Test Notification")
.message("Hello, SNS!")
.build());
SNS to SQS Subscription:
String queueArn = sqsClient.getQueueAttributes(GetQueueAttributesRequest.builder()
.queueUrl(queueUrl)
.attributeNames(QueueAttributeName.QUEUE_ARN)
.build()).attributes().get(QueueAttributeName.QUEUE_ARN);
snsClient.subscribe(SubscribeRequest.builder()
.protocol("sqs")
.endpoint(queueArn)
.topicArn(topicArn)
.build());
Spring Boot Integration
@Service
@RequiredArgsConstructor
public class OrderNotificationService {
private final SnsClient snsClient;
private final ObjectMapper objectMapper;
@Value("${aws.sns.order-topic-arn}")
private String orderTopicArn;
public void sendOrderNotification(Order order) throws JsonProcessingException {
snsClient.publish(PublishRequest.builder()
.topicArn(orderTopicArn)
.subject("New Order Received")
.message(objectMapper.writeValueAsString(order))
.messageAttributes(Map.of(
"orderType", MessageAttributeValue.builder()
.dataType("String")
.stringValue(order.getType())
.build()))
.build());
}
}
Instructions
Implement Message Processing (with Validation)
- Create queues/topics with appropriate configuration
- Send messages and validate
messageIdis returned - Receive messages with long polling (
waitTimeSeconds: 20) - Process messages - validate payload before processing
- Delete messages only after successful processing - verify deletion response
- Check DLQ periodically for failed messages using
redrivePolicy - Verify delivery - monitor CloudWatch
NumberOfMessagesSentmetric
Validation Checklist:
// After send
if (messageId == null || messageId.isEmpty()) {
throw new MessagingException("Message send failed - no messageId returned");
}
// After receive
if (response.messages().isEmpty()) {
log.debug("No messages available - normal with long polling");
}
// After delete
if (!deleteResponse.sdkHttpResponse().isSuccessful()) {
throw new MessagingException("Message deletion failed");
}
Setup Credentials
export AWS_ACCESS_KEY_ID=your-access-key
export AWS_SECRET_ACCESS_KEY=your-secret-key
export AWS_REGION=us-east-1
Monitor and Debug
- CloudWatch metrics:
ApproximateNumberOfMessages,NumberOfMessagesSent,NumberOfMessagesReceived - Enable SDK logging:
software.amazon.awssdkat DEBUG level - Use X-Ray for distributed tracing
Best Practices
SQS:
- Use long polling (20-40s) to reduce empty responses and costs
- Always delete messages after successful processing
- Implement idempotent processing for duplicate handling
- Configure DLQ (
redrivePolicy) for failed messages - Use FIFO queues when order matters (300 msg/sec limit)
SNS:
- Use filter policies to reduce unnecessary deliveries
- Keep messages under 256KB
- Implement retry with exponential backoff
- Monitor
NumberOfNotificationFailedmetric
General:
- Use IAM roles over static credentials
- Reuse clients (they are thread-safe)
- Test with LocalStack or Testcontainers
Detailed References
- references/detailed-sqs-operations.md
- references/detailed-sns-operations.md
- references/spring-boot-integration.md
- references/aws-official-documentation.md
Constraints and Warnings
- Message Size: Maximum 256KB for SQS and SNS
- Visibility Timeout: Undeleted messages reappear after timeout - always delete after processing
- Input Validation: Sanitize message body before processing - messages may contain untrusted payloads
- FIFO Naming: Must end with
.fifosuffix - FIFO Throughput: 300 msg/sec per queue (use partitioning for higher throughput)
- Message Retention: SQS retains messages max 14 days
- DLQ Required: Configure dead letter queue to prevent message loss
- Region-Specific: SQS queues are region-specific; cross-region requires SNS
FAQ
What does the aws-sdk-java-v2-messaging skill do?
Provides AWS messaging patterns using AWS SDK for Java 2.x for SQS queues and SNS topics. Handles sending/receiving messages, FIFO queues, DLQ, subscriptions, and pub/sub patterns. Use when implementing messaging with SQS or SNS.
How do I install aws-sdk-java-v2-messaging?
Run npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-sdk-java-v2-messaging in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/aws-sdk-java-v2-messaging/ (personal) or .claude/skills/aws-sdk-java-v2-messaging/ (project).
Which AI agents can use aws-sdk-java-v2-messaging?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is aws-sdk-java-v2-messaging safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains aws-sdk-java-v2-messaging?
It is published by giuseppe-trisciuoglio in giuseppe-trisciuoglio/developer-kit. It has 3,680 recorded installs.
More from giuseppe-trisciuoglio/developer-kit
shadcn-ui
giuseppe-trisciuoglio/developer-kit
Provides complete shadcn/ui component library patterns including installation, configuration, and implementation of accessible React components. Use when setting up shadcn/ui, installing components, building forms with React Hook Form and Zod, customizing themes with Tailwind CSS, or implementing UI patterns like buttons, dialogs, dropdowns, tables, and complex form layouts.
tailwind-css-patterns
giuseppe-trisciuoglio/developer-kit
Provides comprehensive Tailwind CSS utility-first styling patterns including responsive design, layout utilities, flexbox, grid, spacing, typography, colors, and modern CSS best practices. Use when styling React/Vue/Svelte components, building responsive layouts, implementing design systems, or optimizing CSS workflow.
drizzle-orm-patterns
giuseppe-trisciuoglio/developer-kit
Provides comprehensive Drizzle ORM patterns for schema definition, CRUD operations, relations, queries, transactions, and migrations. Proactively use for any Drizzle ORM development including defining database schemas, writing type-safe queries, implementing relations, managing transactions, and setting up migrations with Drizzle Kit. Supports PostgreSQL, MySQL, SQLite, MSSQL, and CockroachDB.
unit-test-bean-validation
giuseppe-trisciuoglio/developer-kit
Provides patterns for unit testing Jakarta Bean Validation (JSR-380), including @Valid, @NotNull, @Min, @Max, @Email constraints with Hibernate Validator. Generates custom validator tests, constraint violation assertions, validation groups, and parameterized validation tests. Validates data integrity logic without Spring context. Use when writing validation tests, bean validation tests, or testing custom constraint validators.
nextjs-performance
giuseppe-trisciuoglio/developer-kit
Expert Next.js performance optimization skill covering Core Web Vitals, image/font optimization, caching strategies, streaming, bundle optimization, and Server Components best practices. Use when optimizing Next.js applications for Core Web Vitals (LCP, INP, CLS), implementing next/image and next/font, configuring caching with unstablecache and revalidateTag, converting Client Components to Server Components, implementing Suspense streaming, or analyzing and reducing bundle size. Supports Next.js 16 + React 19 patterns.
react-patterns
giuseppe-trisciuoglio/developer-kit
Provides comprehensive React 19 patterns for Server Components, Server Actions, useOptimistic, useActionState, useTransition, concurrent features, Suspense boundaries, and TypeScript integration. Generates executable code patterns, validates security for public endpoints, and optimizes performance with React Compiler or manual memoization. Proactively use when building React 19 applications with Next.js App Router, implementing optimistic UI, or optimizing concurrent rendering.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.