Can I use this with LangSmith?

Yes, the skill includes specific steps to enable LangSmith tracing (v2) alongside local logging to provide maximum visibility into your chains.

Do I need to install any extra packages?

The skill assumes you have LangChain installed, but it provides the necessary code to audit and verify your existing installation environment.

How do I trigger the LangChain debug collection?

You can trigger the skill by asking Claude phrases like 'langchain debug bundle', 'langchain diagnostics', or 'collect langchain logs'.

Does this skill handle sensitive information?

The skill includes clear instructions and checklists for redacting API keys and sensitive environment variables before you submit your debug bundle.

What is included in the generated debug bundle?

The bundle produces a JSON file containing your Python version, OS info, installed LangChain package versions, timestamped execution traces, and a reproduction script.

LangChain Debug Bundle

Name: LangChain Debug Bundle
Author: jeremylongshore

byjeremylongshore

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982

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Analytics & Monitoring

Streamlines the collection of diagnostic data and execution traces for LangChain applications to accelerate troubleshooting and bug reporting.

The LangChain Debug Bundle is a specialized Claude Code skill designed to help developers capture comprehensive technical evidence when encountering issues in LangChain workflows. It automates the collection of environment specifications, package versions, and granular LLM/tool execution traces while facilitating the creation of minimal reproduction scripts. By standardizing the diagnostic output into a structured JSON bundle, it enables faster resolution of complex chain failures and provides production-ready evidence for GitHub issues, team collaboration, or LangChain support tickets.

Key Features

01Templates for creating isolated minimal reproduction scripts

02982 GitHub stars

03Standardized JSON debug bundle generation for easy sharing

04Granular callback handlers for LLM, tool, and chain execution logging

05Automated system environment and package version auditing

06Integration with LangChain's native debug mode and LangSmith tracing

Use Cases

01Preparing detailed bug reports for the LangChain GitHub repository

02Documenting environment-specific issues in production AI workflows

03Troubleshooting non-deterministic LLM behavior and chain failures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langchain-debug-bundle

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Templates for creating isolated minimal reproduction scripts

02982 GitHub stars

03Standardized JSON debug bundle generation for easy sharing

04Granular callback handlers for LLM, tool, and chain execution logging

05Automated system environment and package version auditing

06Integration with LangChain's native debug mode and LangSmith tracing

Use Cases

01Preparing detailed bug reports for the LangChain GitHub repository

02Documenting environment-specific issues in production AI workflows

03Troubleshooting non-deterministic LLM behavior and chain failures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langchain-debug-bundle

For use in Claude.ai and ChatGPT

Download Skill