Back to skills
SkillHub ClubAnalyze Data & AIFull StackDevOpsData / AI

phoenix-tracing

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

Packaged view

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

Stars
8,924
Hot score
99
Updated
March 20, 2026
Overall rating
C4.8
Composite score
4.8
Best-practice grade
S100.0

Install command

npx @skill-hub/cli install arize-ai-phoenix-phoenix-tracing

Repository

Arize-ai/phoenix

Skill path: skills/phoenix-tracing

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, DevOps, Data / AI.

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

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: Arize-ai.

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

What it helps with

  • Install phoenix-tracing into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/Arize-ai/phoenix before adding phoenix-tracing to shared team environments
  • Use phoenix-tracing for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

phoenix-tracing | SkillHub