aws-sdk-java-v2-core

giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026

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$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-sdk-java-v2-core
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summary

Core patterns and configuration for AWS SDK for Java 2.x service clients, authentication, and HTTP management.

  • Covers client builder patterns, credential provider chains (environment variables, profiles, IAM roles, SSO), and lifecycle management with try-with-resources
  • Supports Apache HTTP client for sync operations and Netty for async, with connection pooling, timeout configuration, and SSL optimization
  • Includes Spring Boot integration with @ConfigurationProperties , bean definition
skill.md

AWS SDK for Java 2.x Core Patterns

Overview

Use this skill to set up AWS SDK for Java 2.x clients with production-safe defaults.

It focuses on the decisions that matter most:

  • how credentials and region are resolved
  • how to configure sync and async HTTP clients
  • how to apply timeouts, retries, lifecycle management, and tests

Keep SKILL.md focused on setup and delivery flow. Use the references/ files for deeper API details and expanded examples.

When to Use

  • Creating or hardening AWS SDK for Java 2.x service clients
  • Wiring Spring Boot beans for AWS integration
  • Debugging auth, region, or credential issues
  • Choosing between sync (S3Client, DynamoDbClient) and async (S3AsyncClient, SqsAsyncClient) clients

Instructions

1. Select the service client type

  • Sync clients (S3Client, DynamoDbClient) for request/response flows
  • Async clients (S3AsyncClient, SqsAsyncClient) for concurrency, streaming, or backpressure
  • Reuse one client per service and configuration profile

2. Configure credential and region resolution

Use DefaultCredentialsProvider with environment-aware defaults:

  • local dev: shared AWS config, SSO, or environment variables
  • CI/CD: web identity or injected environment variables
  • AWS runtime: ECS task roles, EKS IRSA, or EC2 instance profiles

Override only for multi-account access, test isolation, or profile switching.

Verify: Call StsClient.getCallerIdentity() at startup to confirm credentials resolve.

3. Configure HTTP client, timeouts, and retries

Set production values explicitly:

  • API call timeout and attempt timeout
  • connection timeout and max connections or concurrency
  • retry strategy aligned with service quotas and idempotency

Use ApacheHttpClient for sync and NettyNioAsyncHttpClient for async.

Verify: Confirm timeouts and retry behavior under failure conditions.

4. Wire clients as application-level dependencies

In Spring Boot:

  • expose clients as @Bean singletons
  • inject through constructors
  • keep credential and region in configuration files

Verify: Check clients are not created inside hot execution paths.

Close custom HTTP clients and SDK clients during shutdown if lifecycle is not managed automatically.

5. Handle failures at integration boundaries

At the boundary layer:

  • catch SdkException or service-specific exceptions
  • distinguish retryable failures from auth, quota, and validation failures
  • log request context, never secrets or raw credentials

6. Run integration tests before shipping

  • verify region and caller identity in the target environment
  • run tests against LocalStack, Testcontainers, or a sandbox account
  • use @PostConstruct in Spring Boot configuration to fail fast on startup if credentials are missing
StsClient stsClient = StsClient.builder().build();
GetCallerIdentityResponse identity = stsClient.getCallerIdentity();
// Logs: Successfully authenticated as: {identity.arn()}

Examples

Example 1: Spring Boot sync client with explicit HTTP and timeout settings

@Configuration
public class AwsClientConfiguration {

    @Bean
    S3Client s3Client() {
        return S3Client.builder()
            .region(Region.of("eu-south-2"))
            .credentialsProvider(DefaultCredentialsProvider.create())
            .httpClientBuilder(ApacheHttpClient.builder()
                .maxConnections(100)
                .connectionTimeout(Duration.ofSeconds(3)))
            .overrideConfiguration(ClientOverrideConfiguration.builder()
                .apiCallAttemptTimeout(Duration.ofSeconds(10))
                .apiCallTimeout(Duration.ofSeconds(30))
                .build())
            .build();
    }
}

Example 2: Async client for high-concurrency workloads

SqsAsyncClient sqsAsyncClient = SqsAsyncClient.builder()
    .region(Region.US_EAST_1)
    .credentialsProvider(DefaultCredentialsProvider.create())
    .httpClientBuilder(NettyNioAsyncHttpClient.builder()
        .maxConcurrency(200)
        .connectionTimeout(Duration.ofSeconds(3))
        .readTimeout(Duration.ofSeconds(20)))
    .overrideConfiguration(ClientOverrideConfiguration.builder()
        .apiCallTimeout(Duration.ofSeconds(30))
        .build())
    .build();

Best Practices

  • Default to DefaultCredentialsProvider unless a project requirement says otherwise.
  • Keep region selection explicit for server-side services.
  • Reuse SDK clients instead of constructing them per request.
  • Tune retries with service quotas and idempotency in mind.
  • Put business mapping on top of the SDK, not inside controllers.
  • Keep integration tests close to the configuration that creates the clients.
  • Move deep service-specific examples to dedicated skills such as S3, DynamoDB, Bedrock, or Secrets Manager.

Constraints and Warnings

  • Do not embed access keys or session tokens in source code, examples, or configuration files.
  • Static credentials are acceptable only for tightly scoped local tests.
  • Missing region or invalid credential resolution often fails only at first call, so verify startup assumptions explicitly.
  • Async clients require lifecycle management for the underlying HTTP resources.
  • Excessive retries can amplify throttling and increase latency.
  • Proxy, TLS, and metric publisher APIs can vary by chosen HTTP stack and SDK version; adapt examples to the versions already used by the project.

References

  • references/api-reference.md
  • references/best-practices.md
  • references/developer-guide.md

Related Skills

  • aws-sdk-java-v2-secrets-manager
  • aws-sdk-java-v2-s3
  • aws-sdk-java-v2-dynamodb
  • aws-sdk-java-v2-bedrock
how to use aws-sdk-java-v2-core

How to use aws-sdk-java-v2-core on Cursor

AI-first code editor with Composer

1

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-core
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill aws-sdk-java-v2-core

The skills CLI fetches aws-sdk-java-v2-core from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/aws-sdk-java-v2-core

Reload or restart Cursor to activate aws-sdk-java-v2-core. Access the skill through slash commands (e.g., /aws-sdk-java-v2-core) 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.

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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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.728 reviews
  • Chaitanya Patil· Dec 28, 2024

    aws-sdk-java-v2-core is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Emma Anderson· Dec 4, 2024

    Registry listing for aws-sdk-java-v2-core matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Emma Reddy· Nov 23, 2024

    aws-sdk-java-v2-core reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Nov 19, 2024

    Useful defaults in aws-sdk-java-v2-core — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Emma Huang· Oct 14, 2024

    aws-sdk-java-v2-core is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Shikha Mishra· Oct 10, 2024

    Registry listing for aws-sdk-java-v2-core matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aanya Lopez· Sep 1, 2024

    aws-sdk-java-v2-core has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • James Flores· Aug 20, 2024

    aws-sdk-java-v2-core fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Rahul Santra· Jul 23, 2024

    Keeps context tight: aws-sdk-java-v2-core is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ama Tandon· Jul 11, 2024

    I recommend aws-sdk-java-v2-core for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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