AI Dev Skills
AI Agents & Orchestration
✗ Missing — critical gap
What is it?
Systems where LLMs plan, use tools, and execute multi-step tasks autonomously. Agents are the primary AI product paradigm of 2026 — moving from chatbots to autonomous workers.
Why it matters for AI PMs
Agents are the primary AI product paradigm of 2026. Understanding orchestration frameworks, tool calling, and multi-agent coordination is essential for building and shipping AI products.
The 2026 landscape
LangGraph is the standard for stateful agents. CrewAI for multi-agent teams. MCP (Model Context Protocol) is standardizing tool integration across the ecosystem.
What strong coverage looks like
Strong agent coverage signals a team that has moved from RAG to full agentic systems. They understand state management, tool orchestration, and multi-agent coordination.
Your library coverage (0 repos)
No repos in this skill area yet.
Key concepts to know
- •ReAct pattern (reason + act)
- •Tool calling and MCP
- •Agent memory and state management
- •Multi-agent coordination
- •Human-in-the-loop workflows