Aws Sdk Java V2 S3 logo

Aws Sdk Java V2 S3

Community
giuseppe-trisciuoglio
aws-sdk-java-v2-s3

Provides Amazon S3 patterns and examples using AWS SDK for Java 2.x. Use when working with S3 buckets, uploading/downloading objects, multipart uploads, presigned URLs, S3 Transfer Manager, object operations, or S3-specific configurations.

Overview

Publishergiuseppe-trisciuoglio
Repositorydeveloper-kit
Skill nameaws-sdk-java-v2-s3
Stars
345
Forks
41
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by giuseppe-trisciuoglio on GitHub. Read the source before you install it.

Installation

Install the Aws Sdk Java V2 S3 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit.git /tmp/developer-kit
mkdir -p .claude/skills
cp -r /tmp/developer-kit/plugins/developer-kit-java/skills/aws-sdk-java-v2-s3 .claude/skills/aws-sdk-java-v2-s3
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Sdk Java V2 S3 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Sdk Java V2 S3 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Sdk Java V2 S3 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS SDK for Java 2.x - Amazon S3

Overview

Provides patterns for S3 operations: bucket management, object upload/download with multipart support, presigned URLs, S3 Transfer Manager, and S3-specific configurations using AWS SDK for Java 2.x.

When to Use

  • Creating, listing, or deleting S3 buckets with proper configuration
  • Uploading or downloading objects from S3 with metadata and encryption
  • Working with multipart uploads for large files (>100MB) with error handling
  • Generating presigned URLs for temporary access to S3 objects
  • Copying or moving objects between S3 buckets with metadata preservation
  • Setting object metadata, storage classes, and access controls
  • Implementing S3 Transfer Manager for optimized file transfers
  • Integrating S3 with Spring Boot applications for cloud storage

Quick Reference

OperationMethodNotes
Create bucketcreateBucket()Wait with waiter().waitUntilBucketExists()
Upload objectputObject()Use RequestBody.fromFile()
Download objectgetObject()Streams to file or memory
Delete objectsdeleteObjects()Batch up to 1000 keys
Presigned URLpresigner.presignGetObject()Max 7 days expiration

Storage Classes

ClassUse Case
STANDARDFrequently accessed data
STANDARD_IAInfrequently accessed data
GLACIERLong-term archive
INTELLIGENT_TIERINGAutomatic cost optimization

Instructions

1. Add Dependencies

xml
<dependency>
    <groupId>software.amazon.awssdk</groupId>
    <artifactId>s3</artifactId>
    <version>2.20.0</version>
</dependency>

<dependency>
    <groupId>software.amazon.awssdk</groupId>
    <artifactId>s3-transfer-manager</artifactId>
    <version>2.20.0</version>
</dependency>

2. Create S3 Client

java
S3Client s3Client = S3Client.builder()
    .region(Region.US_EAST_1)
    .build();

// With retry logic
S3Client s3Client = S3Client.builder()
    .region(Region.US_EAST_1)
    .overrideConfiguration(b -> b
        .retryPolicy(RetryPolicy.builder()
            .numRetries(3)
            .build()))
    .build();

3. Create Bucket

java
CreateBucketRequest request = CreateBucketRequest.builder()
    .bucket(bucketName)
    .build();

s3Client.createBucket(request);

// Wait until ready
s3Client.waiter().waitUntilBucketExists(
    HeadBucketRequest.builder().bucket(bucketName).build()
);

4. Upload Object

java
PutObjectRequest request = PutObjectRequest.builder()
    .bucket(bucketName)
    .key(key)
    .contentType("application/pdf")
    .serverSideEncryption(ServerSideEncryption.AES256)
    .storageClass(StorageClass.STANDARD_IA)
    .build();

s3Client.putObject(request, RequestBody.fromFile(Paths.get(filePath)));

// Validate upload completion
HeadObjectResponse headResp = s3Client.headObject(HeadObjectRequest.builder()
    .bucket(bucketName)
    .key(key)
    .build());

5. Download Object

java
GetObjectRequest request = GetObjectRequest.builder()
    .bucket(bucketName)
    .key(key)
    .build();

s3Client.getObject(request, Paths.get(destPath));

6. Generate Presigned URL

java
try (S3Presigner presigner = S3Presigner.create()) {
    GetObjectRequest getRequest = GetObjectRequest.builder()
        .bucket(bucketName)
        .key(key)
        .build();

    GetObjectPresignRequest presignRequest = GetObjectPresignRequest.builder()
        .signatureDuration(Duration.ofMinutes(10))
        .getObjectRequest(getRequest)
        .build();

    String url = presigner.presignGetObject(presignRequest).url().toString();
}

7. Use Transfer Manager (Large Files)

java
try (S3TransferManager tm = S3TransferManager.create()) {
    UploadFileRequest request = UploadFileRequest.builder()
        .putObjectRequest(req -> req.bucket(bucketName).key(key))
        .source(Paths.get(filePath))
        .build();

    FileUpload upload = tm.uploadFile(request);
    CompletedFileUpload result = upload.completionFuture().join();
}

Best Practices

Performance

  • Use S3 Transfer Manager: Automatic multipart uploads for files >100MB
  • Reuse S3 Client: Clients are thread-safe; reuse throughout application
  • Enable async operations: Use S3AsyncClient for I/O-bound operations
  • Configure timeouts: Set appropriate timeouts for large file operations

Security

  • Use temporary credentials: IAM roles or AWS STS for short-lived tokens
  • Enable encryption: Use AES-256 or AWS KMS for sensitive data
  • Use presigned URLs: Avoid exposing credentials with temporary access
  • Validate metadata: Sanitize user-provided metadata

Error Handling

  • Implement retry logic: Exponential backoff for network operations
  • Handle throttling: Proper handling of 429 responses
  • Clean up failures: Abort failed multipart uploads

Cost Optimization

  • Use appropriate storage classes: STANDARD, STANDARD_IA, INTELLIGENT_TIERING
  • Implement lifecycle policies: Automatic transition/expiration
  • Minimize API calls: Use batch operations when possible

Constraints and Warnings

  • Object Size: Single PUT limited to 5GB; use multipart for larger files
  • Bucket Names: Must be globally unique across all AWS accounts
  • Object Immutability: Objects cannot be modified; must be replaced entirely
  • Eventual Consistency: List operations may have slight delays after uploads
  • Presigned URLs: Maximum expiration time is 7 days
  • Multipart Uploads: Parts must be at least 5MB except last part

Examples

Complete Upload Workflow with Validation

java
// 1. Upload with validation
PutObjectRequest putRequest = PutObjectRequest.builder()
    .bucket(bucketName)
    .key(key)
    .contentType(contentType)
    .build();

s3Client.putObject(putRequest, RequestBody.fromFile(Paths.get(filePath)));

// 2. Validate with headObject
HeadObjectResponse headResp = s3Client.headObject(HeadObjectRequest.builder()
    .bucket(bucketName)
    .key(key)
    .build());

// 3. Verify metadata
long fileSize = Files.size(Paths.get(filePath));
if (headResp.contentLength() != fileSize) {
    throw new IllegalStateException("Upload size mismatch");
}

Multipart Upload with Abort-on-Failure

java
// 1. Initiate multipart upload
CreateMultipartUploadRequest createRequest = CreateMultipartUploadRequest.builder()
    .bucket(bucketName)
    .key(key)
    .build();

CreateMultipartUploadResponse multipartUpload = s3Client.createMultipartUpload(createRequest);
String uploadId = multipartUpload.uploadId();

try {
    // 2. Upload parts
    List<CompletedPart> parts = new ArrayList<>();
    int partNumber = 1;
    byte[] fileBytes = Files.readAllBytes(Paths.get(filePath));
    int chunkSize = 5 * 1024 * 1024; // 5MB minimum

    for (int offset = 0; offset < fileBytes.length; offset += chunkSize) {
        int length = Math.min(chunkSize, fileBytes.length - offset);
        UploadPartRequest uploadPartRequest = UploadPartRequest.builder()
            .bucket(bucketName)
            .key(key)
            .uploadId(uploadId)
            .partNumber(partNumber)
            .build();

        UploadPartResponse partResponse = s3Client.uploadPart(uploadPartRequest,
            RequestBody.fromBytes(Arrays.copyOfRange(fileBytes, offset, offset + length)));

        parts.add(CompletedPart.builder()
            .partNumber(partNumber)
            .eTag(partResponse.eTag())
            .build());
        partNumber++;
    }

    // 3. Complete multipart upload
    CompleteMultipartUploadRequest completeRequest = CompleteMultipartUploadRequest.builder()
        .bucket(bucketName)
        .key(key)
        .uploadId(uploadId)
        .multipartUpload(CompletedMultipartUpload.builder().parts(parts).build())
        .build();
    s3Client.completeMultipartUpload(completeRequest);

} catch (Exception e) {
    // 4. Abort on failure
    AbortMultipartUploadRequest abortRequest = AbortMultipartUploadRequest.builder()
        .bucket(bucketName)
        .key(key)
        .uploadId(uploadId)
        .build();
    s3Client.abortMultipartUpload(abortRequest);
    throw new RuntimeException("Upload failed, cleanup performed", e);
}

References

Related Skills

  • aws-sdk-java-v2-core - Core AWS SDK patterns and configuration
  • spring-boot-dependency-injection - Spring dependency injection patterns

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aws Sdk Java V2 S3 AI skill do?

Provides Amazon S3 patterns and examples using AWS SDK for Java 2.x. Use when working with S3 buckets, uploading/downloading objects, multipart uploads, presigned URLs, S3 Transfer Manager, object operations, or S3-specific configurations.

Why use Aws Sdk Java V2 S3 on TypingMind?

Because you install it once and use it with any model. Aws Sdk Java V2 S3 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Sdk Java V2 S3 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-java/skills/aws-sdk-java-v2-s3. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aws Sdk Java V2 S3?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Sdk Java V2 S3?

As many as you like. As long as a model supports skills, you can use Aws Sdk Java V2 S3 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Sdk Java V2 S3 AI skill free?

Yes. It is published on GitHub by giuseppe-trisciuoglio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇