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mastering-langgraph - Build stateful AI agents and workflows with LangGraph.

Build stateful AI agents and multi-step workflows in Python covering tools, memory, conditional branching, human-in-the-loop, and production monitoring.

Tags

Updated: 2026-09-22
langgraphagentworkflowpythonai-agent

Capabilities

Define graph nodes and edgesImplement tool-using agent loopsAdd persistent conversation memoryCreate conditional branching workflows

Typical Inputs

LLM API keysUser task state input

Typical Outputs

Graph execution resultsGraph Mermaid visualization

What this skill does

  • Define graph nodes and edges
  • Implement tool-using agent loops
  • Add persistent conversation memory
  • Create conditional branching workflows
  • Implement human-in-the-loop interrupts
  • Trace execution using LangSmith

Inputs

  • LLM API keys
  • User task state input

Outputs

  • Graph execution results
  • Graph Mermaid visualization

Requirements

  • Python >= 3.9
  • langgraph library
  • LLM provider SDK

Source

  • Spec: SKILL.md

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