关于
The LangGraph Architecture Analysis skill provides a systematic approach to optimizing AI agents and complex LLM workflows. By examining the structural configuration of StateGraphs and MessageGraphs, it identifies critical bottlenecks such as unnecessary sequential processing or inefficient model selection. The skill goes beyond basic prompt engineering by suggesting significant architectural improvements—like parallel execution, intent-based routing, and multi-stage RAG subgraphs—generating diverse proposals that can be evaluated in parallel to ensure the most performant design is chosen for production.
