Agent skill · DevOps & Cloud

aws-sdk-java-v2-bedrock

Provides Amazon Bedrock patterns using AWS SDK for Java 2.x. Invokes foundation models (Claude, Llama, Titan), generates text and images, creates embeddings for RAG, streams real-time responses, and configures Spring Boot integration. Use when asking about Bedrock integration, Java SDK for AI models, AWS generative AI, Claude/Llama invocation, embeddings for RAG, or Spring Boot AI setup.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill aws-sdk-java-v2-bedrock-giuseppe-trisciuogli-developer-kit-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashGlobGrep
Path: skills/ai-llm/aws-sdk-java-v2-bedrock-giuseppe-trisciuogli-developer-kit-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AWS SDK for Java 2.x - Amazon Bedrock ## Overview Invokes foundation models through AWS SDK for Java 2.x. Configures clients, builds model-specific JSON payloads, handles streaming responses with error recovery, creates embeddings for RAG, integrates generative AI into Spring Boot applications, and implements exponential backoff for resilience. ## When to Use - Invoke Claude, Llama, Titan, or Stable Diffusion for text/image generation - Configure BedrockClient and BedrockRuntimeClient instances - Build and parse model-specific payloads (Claude, Titan, Llama formats) - Stream real-time AI responses with async handlers and error recovery - Create embeddings for retrieval-augmented generation - Integrate generative AI into Spring Boot microservices - Handle throttling with exponential backoff retry logic ## Quick Start ### Dependencies ```xml <!-- Bedrock (model management) --> <dependency> <groupId>software.amazon.awssdk</groupId> <artifactId>bedrock</artifactId> </dependency> <!-- Bedrock Runtime (model invocation) --> <dependency> <groupId>software.amazon.awssdk</groupId> <artifactId>bedrockruntime</artifactId> </dependency> <!-- For JSON processing --> <dependency> <groupId>org.

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Quick Start
  4. Dependencies
  5. Client Setup
  6. Instructions
  7. Examples
  8. Text Generation with Claude
  9. Model Discovery
  10. Multi-Model Invocation
  11. Streaming Response with Error Handling
  12. Exponential Backoff for Throttling
  13. Text Embeddings
  14. Spring Boot Integration
Ships with 1 file
  • metadata.json
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About this skill
What does the aws-sdk-java-v2-bedrock skill do?

Provides Amazon Bedrock patterns using AWS SDK for Java 2.x. Invokes foundation models (Claude, Llama, Titan), generates text and images, creates embeddings for RAG, streams real-time responses, and configures Spring Boot integration. Use when asking about Bedrock integration, Java SDK for AI models, AWS generative AI, Claude/Llama invocation, embeddings for RAG, or Spring Boot AI setup.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill aws-sdk-java-v2-bedrock-giuseppe-trisciuogli-developer-kit-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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