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phoenix-observability

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.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
5,244
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
B73.6

Install command

npx @skill-hub/cli install orchestra-research-ai-research-skills-phoenix
ObservabilityPhoenixArizeTracingEvaluationMonitoringLLM OpsOpenTelemetry

Repository

Orchestra-Research/AI-Research-SKILLs

Skill path: 17-observability/phoenix

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.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: Orchestra-Research.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install phoenix-observability into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/Orchestra-Research/AI-Research-SKILLs before adding phoenix-observability to shared team environments
  • Use phoenix-observability for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

phoenix-observability | SkillHub