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".
7.0
Rating
0
Installs
AI & LLM
Category
Excellent skill for LangChain debugging with comprehensive, actionable code samples. The description clearly explains when to invoke the skill (bug reports, traces, diagnostics), and the SKILL.md provides complete Python implementations for environment collection, tracing callbacks, minimal reproduction scripts, and bundle generation. The structure is logical with a clear 4-step workflow. The skill demonstrates strong task knowledge with production-ready code that handles various LangChain packages, custom callbacks, and proper error logging. Novelty is good—while a CLI agent could theoretically gather this information, doing so would require significant LangChain-specific knowledge and many tokens to implement tracing callbacks, version detection, and proper bundle formatting. The skill meaningfully reduces complexity for what would otherwise be a multi-turn debugging session. Minor areas for improvement: could benefit from error handling examples in Step 2 usage, and perhaps a quick-start command summary at the top.
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