What AWS SDK version does this skill support?

This skill is specifically optimized for AWS SDK for Java 2.x, which features improved performance and modern API design compared to version 1.x.

Does this skill handle FIFO queues?

Absolutely. It provides specific implementation patterns for both SQS FIFO queues and SNS FIFO topics, including message group IDs and deduplication handling.

Does it support long polling for SQS?

Yes, it promotes best practices like long polling via waitTimeSeconds to reduce empty responses and lower your AWS SQS costs.

How do I test my AWS messaging code locally?

The skill provides guidance on using LocalStack or Testcontainers to simulate AWS services locally, allowing for integration testing without hitting live AWS resources.

Can I use this skill for Spring Boot projects?

Yes, it includes patterns for Spring Boot bean configuration, service integration, and using properties to manage AWS resource identifiers.

AWS Java SDK Messaging (SQS & SNS)

Name: AWS Java SDK Messaging (SQS & SNS)
Author: pur3v4d3r

bypur3v4d3r

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Cloud Infrastructure

Implements robust AWS messaging patterns using the AWS SDK for Java 2.x for SQS queues and SNS topics.

About

This skill provides Claude with specialized knowledge to architect and implement asynchronous messaging systems using AWS SDK for Java 2.x. It enables the creation of event-driven architectures by offering implementation patterns for SQS queue management, SNS pub/sub systems, FIFO processing, and Dead Letter Queues. Whether you're building a standalone Java application or a Spring Boot service, this skill helps configure clients, manage message lifecycles, and integrate testing strategies with LocalStack or Testcontainers for reliable messaging workflows.

Key Features

Dead Letter Queue (DLQ) implementation and retry logic
SNS topic creation and multi-protocol subscription handling
Standard and FIFO SQS queue management and configuration
LocalStack and Testcontainers patterns for local development
1 GitHub stars
Spring Boot integration for AWS messaging services

Use Cases

Building event-driven microservices using SNS and SQS fan-out patterns
Developing high-throughput messaging systems with SQS batch operations
Implementing reliable background job processing with Dead Letter Queues

About

Key Features

Dead Letter Queue (DLQ) implementation and retry logic
SNS topic creation and multi-protocol subscription handling
Standard and FIFO SQS queue management and configuration
LocalStack and Testcontainers patterns for local development
1 GitHub stars
Spring Boot integration for AWS messaging services

Use Cases

Building event-driven microservices using SNS and SQS fan-out patterns
Developing high-throughput messaging systems with SQS batch operations
Implementing reliable background job processing with Dead Letter Queues