Individual skill
langchain-debug-bundle
Not available
plugins/saas-packs/langchain-py-pack/skills/langchain-debug-bundle/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.
Repository context
- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- langchain Declared skill tag
- langgraph Declared skill tag
- python Declared skill tag
- langchain-1.0 Declared skill tag
- debugging Declared skill tag
- observability Declared skill tag
- incident-response Declared skill tag
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 18,471 bytesSKILL.mdcore · 18,471 bytesSKILL.mdcore · 18,471 bytesSKILL.mdcore · 18,471 bytesSKILL.mdcore · 18,471 bytesSKILL.mdcore · 18,471 bytesSKILL.mdcore · 18,471 bytesSKILL.mdcore · 18,471 bytesreferences/astream-events-capture.mddoc · 7,283 bytesreferences/callback-propagation.mddoc · 6,822 bytesreferences/env-manifest-template.mddoc · 5,567 bytesreferences/one-pager.mddoc · 2,807 bytesreferences/sanitization-checklist.mddoc · 7,052 bytes
Read excerpt
# LangChain Debug Bundle (Python)
## Overview
An on-call engineer pages you at 2am: the production agent loops, `ToolMessage`
outputs are empty strings, the user sees "I could not find the answer." Someone
asks the right question — *what state was the graph in when it gave up?* — and
there is no answer, because the terminal that caught the failure is already
gone, the Kubernetes pod has restarted, and the LangSmith URL was never
recorded.
This skill produces one artifact: a single `bundle-<incident_id>.tar.gz` (typically
1-10 MB) containing everything a second engineer needs to reproduce the failure
without a live terminal — environment and version manifest, filtered
`astream_events(version="v2")` JSONL, a propagating callback stack, the