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langchain-debug-bundle

7.0

by jeremylongshore

102Favorites
259Upvotes
0Downvotes

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".

debugging

7.0

Rating

0

Installs

AI & LLM

Category

Quick Review

Strong diagnostic skill that provides comprehensive, actionable code for collecting LangChain debug information. The description clearly explains when to use it, and the step-by-step instructions with complete Python scripts enable full implementation. The skill covers environment collection, trace logging, minimal reproduction creation, and bundle generation with excellent task knowledge. Structure is clear and logical with well-organized sections. Novelty is moderate-to-good: while a CLI agent could theoretically collect some debug info, this skill meaningfully reduces token cost by providing pre-built callback handlers, proper tracing setup, and structured bundle generation that would require significant back-and-forth to construct properly. Minor improvement areas: could be more explicit about which steps require user input vs. automated execution, and the trigger phrases could emphasize support/bug reporting contexts more clearly.

LLM Signals

Description coverage8
Task knowledge9
Structure8
Novelty7

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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