aws-agentic-ai

# AWS Bedrock AgentCore AWS Bedrock AgentCore provides a complete platform for deploying and scaling AI agents with seven core services. This skill guides you through service selection, deployment patterns, and integration workflows using AWS CLI. ## AWS Documentation Requirement Always verify AWS facts using MCP tools (`mcp__aws-mcp__*` or `mcp__*awsdocs*__*`) before answering. The `aws-mcp-setup` dependency is auto-loaded — if MCP tools are unavailable, guide the user through that skill's setup flow. ## When to Use This Skill Use this skill when you need to: - Deploy REST APIs as MCP tools for AI agents (Gateway) - Execute agents in serverless runtime (Runtime) - Add conversation memory to agents (Memory) - Manage API credentials and authentication (Identity) - Enable agents to execute code securely (Code Interpreter) - Allow agents to interact with websites (Browser) - Monitor and trace agent performance (Observability) ## Available Services | Service | Use For | Documentation | |---------|---------|---------------| | **Gateway** | Converting REST APIs to MCP tools | [`services/gateway/README.md`](services/gateway/README.md) | | **Runtime** | Deploying and scaling agents | [`services/runtime/README.md`](services/runtime/README.md) | | **Memory** | Managing conversation state | [`services/memory/README.md`](services/memory/README.md) | | **Identity** | Credential and access management | [`services/identity/README.md`](services/identity/README.md) | | **Code Interpret...