langchain-debug-bundle
Collect LangChain debug evidence for troubleshooting and support. Use when preparing bug reports, collecting traces, or gathering diagnostic information for complex issues. Trigger with phrases like "langchain debug bundle", "langchain diagnostics", "langchain support info", "collect langchain logs", "langchain trace".
npx skills add majiayu000/claude-skill-registry --skill langchain-debug-bundle --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangChain Debug Bundle ## Overview Collect comprehensive debug information for LangChain issues including traces, versions, and reproduction steps. ## Prerequisites - LangChain installed - Reproducible error condition - Access to logs and environment ## Instructions ### Step 1: Collect Environment Info ```python # debug_bundle.py import sys import platform import subprocess def collect_environment(): """Collect system and package information.""" info = { "python_version": sys.version, "platform": platform.platform(), "packages": {} } # Get LangChain package versions packages = [ "langchain", "langchain-core", "langchain-community", "langchain-openai", "langchain-anthropic", "openai", "anthropic" ] for pkg in packages: try: result = subprocess.run( [sys.executable, "-m", "pip", "show", pkg], capture_output=True, text=True ) for line in result.stdout.split("\n"): if line.startswith("Version:"): info["packages"][pkg] = line.split(":")[1].strip() except: info["packages"][pkg] = "not installed" return info print(collect_environment()) ``` ### Step 2: Enable Full Tracing ```python import os import langchain # Enable debug mode langchain.debug = True # Enable LangSmith tracing (if avail
- Overview
- Prerequisites
- Instructions
- Step 1: Collect Environment Info
- Step 2: Enable Full Tracing
- Step 3: Create Minimal Reproduction
- Step 4: Generate Debug Bundle
- Output
- Debug Bundle Contents
- Checklist Before Submitting
- Resources
- Next Steps
What does the langchain-debug-bundle skill do?
Collect LangChain debug evidence for troubleshooting and support. Use when preparing bug reports, collecting traces, or gathering diagnostic information for complex issues. Trigger with phrases like "langchain debug bundle", "langchain diagnostics", "langchain support info", "collect langchain logs", "langchain trace".
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langchain-debug-bundle --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.