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langchain-observability

7.0

by jeremylongshore

164Favorites
346Upvotes
0Downvotes

Set up comprehensive observability for LangChain integrations. Use when implementing monitoring, setting up dashboards, or configuring alerting for LangChain application health. Trigger with phrases like "langchain monitoring", "langchain metrics", "langchain observability", "langchain tracing", "langchain alerts".

observability

7.0

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent observability skill with comprehensive implementation details covering LangSmith, Prometheus, OpenTelemetry, structured logging, Grafana dashboards, and alerting. The description clearly indicates when to use this skill with specific trigger phrases. Task knowledge is exceptional with complete, production-ready code for all major observability components including custom callbacks, metrics definitions, and alert configurations. Structure is clear with logical step-by-step progression, though could benefit from separating large code blocks into referenced files for a more modular approach. Novelty is moderate-to-good: while observability setup is common, integrating multiple monitoring systems specifically for LangChain with custom callbacks represents meaningful value that would require substantial token usage and research for a CLI agent to replicate from scratch. Minor deduction for structure as consolidating all implementations in SKILL.md makes it lengthy, though this is offset by clear organization.

LLM Signals

Description coverage9
Task knowledge10
Structure8
Novelty7

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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