What is AWS Bedrock AgentCore?

AWS Bedrock AgentCore is a specialized set of services designed to help developers deploy, scale, and manage AI agents, providing essential components like memory, runtime environments, and tool integration.

How does this skill handle API credentials?

It leverages the AgentCore Identity service to manage credential providers, securely linking them to Gateway targets while adhering to AWS security best practices such as rotation and IAM role usage.

Can it help with monitoring agent performance?

Yes, it includes workflows for the Observability service, including CloudWatch dashboard configuration, error rate alarms, and X-Ray distributed tracing for agentic tasks.

Does this skill require specific AWS tools?

While it can provide guidance without them, it is optimized to work with AWS MCP tools for real-time documentation lookups and requires the AWS CLI for managing AgentCore control plane operations.

Can I use this to convert existing APIs into AI tools?

Yes, the Gateway service functionality within this skill helps you map OpenAPI schemas to S3 and convert RESTful endpoints into MCP-compliant tools that agents can interact with.

AWS Bedrock AgentCore Expert

Name: AWS Bedrock AgentCore Expert
Author: prof-ramos

byprof-ramos

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クラウドインフラストラクチャ

Deploys and manages AWS Bedrock AgentCore services for scaling AI agents with advanced memory, identity, and runtime capabilities.

概要

This skill provides specialized guidance for architecting, deploying, and managing the complete suite of AWS Bedrock AgentCore services. It assists developers in converting REST APIs into Model Context Protocol (MCP) tools via Gateway, configuring serverless agent execution with Runtime, managing conversation persistence through Memory, and ensuring secure operation using Identity and Code Interpreter services. By integrating AWS MCP tools for real-time documentation and regional availability, it streamlines the creation of production-grade agentic workflows and infrastructure on AWS.

主な機能

Secure identity management and API credential rotation
1 GitHub stars
Persistent conversation memory and state management patterns
Automated REST API to MCP tool conversion via Gateway service
Sandboxed code execution and web automation integration
Serverless AI agent deployment and scaling configuration

ユースケース

Exposing existing internal REST APIs as secure tools for Claude and other AI agents
Building multi-agent systems with shared persistent memory on AWS infrastructure
Implementing production-grade agentic workflows with full observability and tracing

概要

主な機能

Secure identity management and API credential rotation
1 GitHub stars
Persistent conversation memory and state management patterns
Automated REST API to MCP tool conversion via Gateway service
Sandboxed code execution and web automation integration
Serverless AI agent deployment and scaling configuration

ユースケース

Exposing existing internal REST APIs as secure tools for Claude and other AI agents
Building multi-agent systems with shared persistent memory on AWS infrastructure
Implementing production-grade agentic workflows with full observability and tracing