Which LangChain errors does this skill cover?

It covers authentication, imports, rate limits, output parsing, Pydantic validation, chain execution, agent loops, and memory mismatches.

Can it help with migrating old LangChain imports?

Yes, it provides specific guidance for updating legacy imports to the modern langchain-openai and langchain-core package structures introduced in LangChain 0.2.0 and 0.3.0.

Does it support LangSmith integration for debugging?

Yes, it includes instructions for setting up LangChain Tracing V2 and LangSmith to provide deep observability into your LLM traces.

How do I trigger this skill in Claude Code?

You can trigger it using phrases like 'langchain error', 'debug langchain', 'langchain not working', or 'troubleshoot langchain exception'.

What tools does this skill use to fix my code?

This skill utilizes Read, Write, Edit, and Grep tools to analyze your source code and apply the necessary fixes for LangChain-related issues.

LangChain Error Diagnostic & Fixer

Name: LangChain Error Diagnostic & Fixer
Author: Brmbobo

byBrmbobo

0•

Data Science & ML

Diagnoses and resolves common LangChain errors, exceptions, and integration issues during AI application development.

This skill acts as an intelligent troubleshooting assistant specifically for the LangChain ecosystem. It provides immediate diagnostic guidance for a wide range of common hurdles, including authentication failures, legacy import paths, rate limiting, and output parsing discrepancies. By offering contextual code fixes and debugging patterns like LangSmith tracing and verbose mode activation, it helps developers quickly overcome technical blockers and maintain robust LLM orchestration workflows.

Key Features

01Resolution of common LangChain import and package versioning issues

02Troubleshooting for output parsing and Pydantic validation failures

03Debugging for Agent loop iterations and Chain memory mismatches

04Automated diagnosis of provider authentication and API key errors

05Implementation of retry logic and backoff strategies for rate limits

060 GitHub stars

Use Cases

01Debugging failed LLM calls or authentication issues in a LangChain project

02Migrating legacy LangChain code to the modern package structure (v0.2.0+)

03Resolving Pydantic validation errors in structured output chains

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brmbobo/web2podcast langchain-common-errors

For use in Claude.ai and ChatGPT

Download Skill