Arize Skills: Add Instrumentation & Tracing to Your AI App with Claude Code, Copilot, or Cursor @arizeai
Arize Skills: Add Instrumentation & Tracing to Your AI App with Claude Code, Copilot, or Cursor  @arizeai
Uploaded March 2026 | Updated September 2026, 2 weeks ago
🚀 Get started with Arize in minutes using the new Arize skills with your coding agent.

🧠 Learn more here: arize.com/docs/ax/agents/arize-skills

Skills are reusable components for AI agents to provide them with abilities beyond what they can do out of the box. The Arize skills allow coding agents like Claude Code, GitHub Copilot, or Cursor to be able to interact with Arize, including:

- Exporting traces and spans
- Debugging LLM application issues
- Adding Arize AX tracing to an app
- Creating, managing, and downloading datasets and examples
- Running and analyzing experiments against datasets
- Optimizing prompts using trace data, experiments, and meta-prompting
- Generating deep links to traces, spans, and sessions in the Arize UI

In this video, @jimbobbennett shows you how quick it is to not only install these skills into your project, but use them with your coding agent to add Arize instrumentation to an AI project.

Chapters:
0:00 - Intro to the Arize Skills
0:48 - Adding trace and span instrumentation using Arize from Claude Code
2:41 - Instrumentation in action
4:11 - Adding session support

Learn more:
- Learn about the Arize Skills - arize.com/docs/ax/agents/arize-skills
- Arize documentation: arize.com/docs/ax
- Sign up for Arize for free: arize.com
- Phoenix, Open Source LLM observability and tracing: phoenix.arize.com

#AgentSkills #Evals
Arize Skills: Add Instrumentation & Tracing to Your AI App with Claude Code, Copilot, or CursorIntroduction To Arize AX EvalsAI Agent Mastery Certification Course: Module 2 – Agent Engineering & ObservabilityYour First Code Eval for Agents: Catch Bugs in 5 Lines of Python | Ep. 6The Flaw in Most AI Evaluation VendorsHow Microsoft’s Azure AI Foundry Builds Trustworthy AI Agents, with PhoenixAI Agent Mastery Certification Course: Lab 4 – Tools & MCPLLM-as-a-Judge for Agents: How to Build a Custom Eval Rubric That Works | Ep. 7Inside Typeforms AI Agent StackWhy AI Agents Need Their Own Observability Layer | AWS | Arize Observe 2026Testing Self-Evaluation Bias of LLMsUpstart’s First AI Voice Bot: Lessons From Production | Shiv Indap | Arize Observe 2026
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Arize Skills: Add Instrumentation & Tracing to Your AI App with Claude Code, Copilot, or Cursor

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