langgraph-debugging

Debug and visualize LangGraph applications with graph diagrams and runtime tracing.

2|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/Lincyaw/AgentM --skill langgraph-debugging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langgraph-debugging
Source: https://github.com/Lincyaw/AgentM/tree/main/.claude/skills/langgraph-debugging
Command: npx skills add https://github.com/Lincyaw/AgentM --skill langgraph-debugging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive toolkit for debugging and visualizing LangGraph applications, making it easier to understand, troubleshoot, and optimize complex agentic workflows.

Core Features & Use Cases

  • Graph Visualization: Generate Mermaid, PNG, or ASCII diagrams of your graph structure.
  • Runtime Tracing: Utilize debug stream mode for real-time execution event monitoring.
  • State Inspection: Inspect current and historical states of your graph execution.
  • Interactive Debugging: Modify state and resume execution for step-by-step analysis.
  • Production Observability: Integrate with LangSmith for advanced tracing and monitoring.
  • Use Case: When your LangGraph agent is not behaving as expected, use this Skill to visualize its graph, trace its execution step-by-step, and inspect its state to pinpoint the source of the error.

Quick Start

Use the langgraph-debugging skill to generate a Mermaid diagram of your graph structure.

Frequently Asked Questions about langgraph-debugging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize a LangGraph application structure for debugging?

Visualizing LangGraph applications for debugging involves generating Mermaid, PNG, or ASCII diagrams of your graph structure to understand complex agentic workflows and pinpoint structural issues.

What is the best way to trace LangGraph execution step-by-step?

Tracing LangGraph execution step-by-step is best achieved by utilizing debug stream mode for real-time execution event monitoring and inspecting current or historical states of your graph execution.

Can I modify state and resume execution during interactive LangGraph debugging?

During interactive LangGraph debugging, you can modify state and resume execution, enabling step-by-step analysis to understand agent behavior and troubleshoot unexpected workflow outcomes.

Does LangGraph debugging integrate with LangSmith for production observability?

LangGraph debugging integrates with LangSmith for production observability, providing advanced tracing and monitoring capabilities to optimize complex agentic workflows in production environments.

Why is my LangGraph agent not behaving as expected during execution?

When your LangGraph agent is not behaving as expected, use runtime tracing and state inspection to monitor execution events and pinpoint the exact source of the error in the workflow.