Can this skill help with API authentication for agents?

Absolutely. It provides specific workflows for using the Identity service to manage credential providers and link API keys to Gateway targets.

What is AWS Bedrock AgentCore?

AWS Bedrock AgentCore is a platform consisting of seven core services—Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, and Observability—designed to deploy and scale AI agents.

How does this skill handle agent monitoring?

It provides guidance on setting up the Observability service, including configuring CloudWatch dashboards and enabling X-Ray for distributed tracing.

Do I need AWS MCP tools to use this skill effectively?

Yes, this skill is optimized to work with AWS MCP tools to verify real-time AWS documentation and regional service availability.

Does it support secure code execution?

Yes, it includes documentation and deployment patterns for the Code Interpreter service, which allows agents to execute code in secure sandboxes.

AWS Bedrock AgentCore Expert

Name: AWS Bedrock AgentCore Expert
Author: zxkane

byzxkane

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Cloud Infrastructure

Deploys and manages AI agents using the AWS Bedrock AgentCore platform, covering Gateway, Runtime, and Observability services.

This skill provides comprehensive expertise for the AWS Bedrock AgentCore ecosystem, enabling developers to build, scale, and monitor sophisticated AI agents on AWS. It guides users through the entire lifecycle of agent deployment—from converting REST APIs into MCP tools via the Gateway service to implementing secure code execution, persistent memory, and unified identity management. By leveraging AWS MCP tools for real-time documentation and availability checks, the skill ensures that your infrastructure configurations, schema optimizations, and credential management follow current AWS best practices for agentic workflows.

Key Features

01Unified credential management via Identity service patterns

02End-to-end deployment of AgentCore services like Gateway and Runtime

0343 GitHub stars

04Secure code execution setup using sandboxed Code Interpreters

05Advanced agent memory and conversation state management

06Comprehensive observability integration for tracing and monitoring

Use Cases

01Converting existing REST APIs into MCP tools for AI agent interaction

02Setting up serverless runtimes for scaling agentic workflows in the cloud

03Implementing persistent conversation memory and secure identity services

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zxkane/aws-skills aws-agentic-ai

For use in Claude.ai and ChatGPT

Download Skill