Arize Skills: Add Instrumentation & Tracing to Your AI App with Claude Code, Copilot, or Cursor
๐ Get started with Arize in minutes using the new Arize skills with your coding agent.
๐ง Learn more here: https://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 - https://arize.com/docs/ax/agents/arize-skills
- Arize documentation: https://arize.com/docs/ax
- Sign up for Arize for free: https://arize.com/
- Phoenix, Open Source LLM observability and tracing: https://phoenix.arize.com/
#AgentSkills #Evals
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Chapters (4)
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
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Tutor Explanation
DeepCamp AI