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langsmith-observability

7.6

by zechenzhangAGI

110Favorites
156Upvotes
0Downvotes

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

observability

7.6

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent skill providing comprehensive LangSmith observability capabilities. The description clearly articulates when to use the skill (debugging, evaluation, monitoring LLM applications) versus alternatives. Task knowledge is outstanding with complete code examples covering tracing, evaluation, datasets, monitoring, and CI/CD integration. Structure is well-organized with logical flow from basics to advanced topics, plus references for deeper material. Novelty is strong - while a CLI agent could call LangSmith APIs directly, this skill packages complex workflows (evaluation pipelines, dataset creation, production monitoring patterns) that would otherwise require many tokens and deep platform knowledge. Minor improvement areas: could add more explicit decision trees for choosing between tracing methods, and slightly more context on cost implications of different monitoring strategies.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

891
74
19
2
Last commit 0 days ago

Publisher

zechenzhangAGI

zechenzhangAGI

Skill Author

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Publisher

zechenzhangAGI avatar
zechenzhangAGI

Skill Author

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