aws-sdk-java-v2-messaging▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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AWS messaging patterns for SQS queues and SNS topics using Java 2.x SDK.
- ›Covers queue creation, message send/receive, FIFO queues, dead letter queues, and long polling with batch operations
- ›Supports SNS topic publishing, subscriptions (email, SMS, SQS, Lambda endpoints), and message filtering with attributes
- ›Includes Spring Boot integration examples with service classes, configuration beans, and property-based resource management
- ›Provides best practices for visibility timeouts, id
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}")
How to use aws-sdk-java-v2-messaging on Cursor
AI-first code editor with Composer
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 aws-sdk-java-v2-messaging
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches aws-sdk-java-v2-messaging from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate aws-sdk-java-v2-messaging. Access the skill through slash commands (e.g., /aws-sdk-java-v2-messaging) 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
Submit your Claude Code skill and start earning
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★50 reviews- ★★★★★Dhruvi Jain· Dec 28, 2024
I recommend aws-sdk-java-v2-messaging for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Nikhil Khan· Dec 28, 2024
Keeps context tight: aws-sdk-java-v2-messaging is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Pratham Ware· Dec 24, 2024
We added aws-sdk-java-v2-messaging from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ishan Perez· Dec 24, 2024
I recommend aws-sdk-java-v2-messaging for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Alexander Rao· Dec 4, 2024
Registry listing for aws-sdk-java-v2-messaging matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Mateo Taylor· Nov 23, 2024
aws-sdk-java-v2-messaging fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Nov 19, 2024
Useful defaults in aws-sdk-java-v2-messaging — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nikhil Anderson· Nov 19, 2024
aws-sdk-java-v2-messaging is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kabir Farah· Nov 15, 2024
Useful defaults in aws-sdk-java-v2-messaging — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sofia Rao· Oct 14, 2024
aws-sdk-java-v2-messaging is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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