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.
- Skills
- AI research
- 0
What it does and how to use it
A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/phoenix-observability && curl -fsSL https://doutorai.pt/data/lib/skills__phoenix-observability.md -o .claude/skills/phoenix-observability/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
---
name: phoenix-observability
description: 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.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Observability, Phoenix, Arize, Tracing, Evaluation, Monitoring, LLM Ops, OpenTelemetry]
dependencies: [arize-phoenix>=12.0.0]
---
# Phoenix - AI Observability Platform
Open-source AI observability and evaluation platform for LLM applications with tracing,
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