From aws-skills-for-claude-code
Builds AI agents with Strands SDK using Bedrock, Anthropic, OpenAI, Gemini, or Llama models, with tool calling, conversation context, and Strands doc tools. Useful for Strands SDK, AI agent building, or multi-provider LLM agents.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aws-skills-for-claude-code:strandsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Build AI agents with tool calling, conversation context, and multiple LLM providers. Default provider is Amazon Bedrock.
Build AI agents with tool calling, conversation context, and multiple LLM providers. Default provider is Amazon Bedrock.
export AWS_BEDROCK_API_KEY=your_key
pip install strands-agents strands-agents-tools
pip install 'strands-agents[anthropic]' + ANTHROPIC_API_KEYpip install 'strands-agents[openai]' + OPENAI_API_KEYpip install 'strands-agents[gemini]' + GOOGLE_API_KEYpip install 'strands-agents[llamaapi]' + LLAMA_API_KEYpip install strands-agents-tools{
"mcpServers": {
"strands-agents": {
"command": "uvx",
"args": ["strands-agents-mcp-server"]
}
}
}
npx claudepluginhub whchoi98/aws-skills-for-claude-code --plugin aws-skills-for-claude-codeGuides building and deploying production AI agents on AWS with Bedrock, AgentCore, and Strands Agents SDK, including Terraform and observability.
Build, test, and deploy AI agents using AWS Bedrock AgentCore with local dev workflow, CDK/Terraform infra, Claude/OpenAI support. For AgentCore, Bedrock agents, AWS AI deployment.
Guides developers to create new AgentCore agent projects on AWS: framework selection (Strands, LangGraph), project scaffolding, first deploy, and invocation. For beginners or 'agentcore create'.