agentic-systems
by NichollsB
A comprehensive skill collection for designing and building production-grade agentic AI systems. Use when building a new agentic system from scratch, making architectural decisions (workflow vs agent, multi-agent topology, framework selection), implementing LangGraph graphs, adding guardrails and security, configuring persistence and memory, setting up model routing and observability, deploying to production, or debugging agent failures. Also use when the user mentions agents, LangGraph, multi-agent, orchestrator, workflows, agentic architecture, or is working on any AI system that uses tools, has multiple steps, or needs to make decisions at runtime. This collection covers the full lifecycle from design through deployment and maintenance.