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agentcore-transform

Transform and deploy Claude Agent SDK applications to AWS Bedrock AgentCore.

7|2|Updated Feb 10, 2026
Search Tags:#deployment automation#persistent memory#Claude Agent SDK#AWS Bedrock AgentCore#Cognito authentication
One-click install
npx skills add https://github.com/aws-samples/sample-AgentCore-make-Claude_Agent_SDK-production_ready --skill agentcore-transform
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agentcore-transform
Source: https://github.com/aws-samples/sample-AgentCore-make-Claude_Agent_SDK-production_ready/tree/main/skills/agentcore-transform
Command: npx skills add https://github.com/aws-samples/sample-AgentCore-make-Claude_Agent_SDK-production_ready --skill agentcore-transform

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @aws/agentcore, boto3, pyjwt, python-dotenv, uuid, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of transforming and deploying Claude Agent SDK applications to AWS Bedrock AgentCore, providing a seamless and efficient way to deploy applications with persistent memory, runtime, and identity.

Core Features & Use Cases

  • Application Transformation: Transform Claude Agent SDK applications to be compatible with AWS Bedrock AgentCore.
  • Deployment Automation: Automate the deployment of applications to AWS Bedrock AgentCore with minimal manual intervention.
  • Persistent Memory Integration: Integrate AgentCore Memory for persistent conversation storage.
  • Identity Integration: Integrate AgentCore Identity for Cognito authentication.
  • Frontend Deployment: Deploy the application's frontend to S3 and CloudFront for production use.
  • Use Case: Imagine you have a Claude Agent SDK application that you want to deploy to AWS Bedrock AgentCore with persistent memory and Cognito authentication. Use this Skill to automate the transformation, deployment, and frontend hosting process.

Quick Start

Run the deploy.sh script to transform and deploy your Claude Agent SDK application to AWS Bedrock AgentCore.

Frequently Asked Questions about agentcore-transform

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy Claude Agent SDK applications to AWS Bedrock AgentCore?▼

To deploy Claude Agent SDK applications to AWS Bedrock AgentCore, run the deploy.sh script to automate application transformation, planning, and deployment. The process integrates AgentCore runtime and manages dependencies for production use.

Can I add persistent memory to Claude Agent SDK apps deployed on AWS?▼

Yes, you can integrate AgentCore Memory for persistent conversation storage when deploying Claude Agent SDK apps to AWS. This Skill automates adding persistent memory to maintain conversation context across sessions.

Does deploying to AWS Bedrock AgentCore support Cognito authentication?▼

Yes, deploying to AWS Bedrock AgentCore supports Cognito authentication via AgentCore Identity integration. This Skill automates configuring identity management so your deployed application securely authenticates users.

What dependencies do I need to transform Claude Agent SDK apps for AgentCore?▼

You need @aws/agentcore, boto3, pyjwt, and python-dotenv to transform Claude Agent SDK apps for AgentCore. These packages interact with AWS services and manage environment variables during deployment.

What is the best way to host a frontend for an AWS Bedrock AgentCore application?▼

The best way to host a frontend for an AWS Bedrock AgentCore application is deploying to S3 and CloudFront. This Skill automates frontend hosting to deliver production-ready content for your transformed application.

Why does my Claude Agent SDK deployment to AWS Bedrock require transformation?▼

Claude Agent SDK deployment to AWS Bedrock requires transformation to ensure compatibility with AgentCore features like runtime, persistent memory, and identity. This guarantees proper integration and functionality within the AWS environment.

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