Ai Agents

A comprehensive collection of educational skills for learning context engineering principles. Covers context window management, multi-agent coordination patterns, memory system design, tool creation, and evaluation frameworks. All scripts are demonstrations using mock data to illustrate concepts without external dependencies.

A comprehensive guide for building autonomous AI agents using Pydantic AI (Python) and Claude Agent SDK (Node.js). Covers agent architecture, tool design, multi-agent coordination, memory management, guardrails, and testing patterns with practical code examples.

A comprehensive reference guide for designing multi-agent architectures in Claude Code. It covers three main patterns (supervisor/orchestrator, peer-to-peer/swarm, and hierarchical), along with context isolation strategies, consensus mechanisms, failure mode mitigations, and memory system designs ranging from simple file-based to temporal knowledge graphs.

AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.