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phoenix-observability

7.6

by zechenzhangAGI

78Favorites
319Upvotes
0Downvotes

Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.

observability

7.6

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent skill with comprehensive coverage of Phoenix AI observability platform. The description clearly explains when to use Phoenix (debugging, evaluation, monitoring) and provides complete setup, framework integration, evaluation workflows, and production deployment guidance. Task knowledge is outstanding with detailed code examples for tracing, evaluators, datasets, experiments, and production deployment patterns. Structure is well-organized with logical sections and helpful decision guidance. The skill addresses a complex observability domain that would require extensive token usage for a CLI agent to configure correctly, though the core task (setting up tracing) is moderately complex rather than highly novel. Minor improvement possible in making the description even more concise for quick agent decision-making.

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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zechenzhangAGI

Skill Author

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