A 12-minute orientation to the Agent Engineering skill path — primitives for tool use, memory, skills, retrieval, and failure recovery

Build the smallest possible agent — one model, one tool, one memory slot — and see exactly what makes the loop tick

Tool use, ReAct loops, multi-agent orchestration, and guardrails for reliable agent systems

Design memory systems that give AI agents continuity across sessions

Connect Claude to your tools using the Model Context Protocol

Master the art and science of building Agent Skills — reusable instruction packages that teach AI agents your workflows

Build agents that plan, retrieve, self-correct, and route across knowledge sources

Build agents that survive tool failures, runaway loops, and cascading errors — with retry, circuit breakers, and human escalation

A 12-minute orientation to the Agent Infrastructure skill path — the substrate beneath production agents and the two protocols you have to get right

Build agents that talk to other agents — A2A, signed agent cards, secure delegation, and multi-framework bridges

Pick the right isolation primitive — E2B, Modal, or Daytona — for agents that run untrusted code

A 12-minute orientation to the Agent Frameworks skill path — what each chapter teaches, how they relate, and where to start

Navigate the API-to-agent stack across OpenAI and Anthropic — understand the layers before you build

Master both the Responses API and Chat Completions — understand when to use each and how to migrate

Master the Messages API, tool use, extended thinking, and prompt caching — build with Claude from first principles

Build multi-agent systems with guardrails, handoffs, and tracing — OpenAI's framework for autonomous AI

Build autonomous agents with Anthropic's framework — the same engine that powers Claude Code, as a library you control

Ship multi-agent systems that integrate with real tools, scale in containers, and verify their own work

Mock tools, trace decisions, build golden datasets, and run agent tests in CI/CD — testing for non-deterministic AI systems

Read, debug, and ship across LangGraph, CrewAI, and AutoGen — the three frameworks you'll meet in customer code

A 12-minute orientation to the On-Device & Edge AI skill path — the three platforms where your model can run without a cloud round-trip, and how to pick yours

Ship a capable ~3B LLM inside your iOS app — guided generation, tool calling, and when to still reach for Claude

Ship on-device AI to 140M+ Android devices — AICore as a shared system service, ML Kit GenAI APIs, and Gemma 4 agentic intelligence

Run arbitrary open models on your Mac — unified memory, JANG quantization, Ollama + MLX, and the honest limits of a single-user inference node

A 12-minute orientation to the Specialized Agents skill path — four agent archetypes, when to pick each, and what makes them fail

Master the plan-execute-synthesize archetype behind ChatGPT, Gemini, Perplexity, and Claude deep research — and know when not to use it

Build AI agents that see, click, and control desktop environments

Real-time voice agents — streaming audio, turn-taking, telephony, and emotion-aware delivery

Architect always-on agents that run on cron schedules, fire on webhooks, and execute autonomously with human gates