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Arize Instrumentation

This is a two-phase instrumentation assistant that reads your codebase first, then adds Arize AX tracing after you confirm the plan. It detects your stack (Python, TypeScript, Java, Go) by scanning dependencies and imports, figures out which LLM providers and frameworks you're using, then routes to the right OpenInference auto-instrumentation packages or manual OpenTelemetry spans. The analysis phase is read-only and won't touch your code until you approve. Useful when you want observability on an existing LLM app without hunting through integration docs yourself. It prioritizes framework-native tracing over provider-specific when available and never hardcodes credentials into generated code.

skills.sh installs
1.1K
GitHub stars
41K
last updated
Aug 21, 2026

Install

$ npx -y skills add github/awesome-copilot --skill arize-instrumentation --agent claude-code

Installs into .claude/skills of the current project.

Files

Arize Instrumentation Skill

Use this skill when the user wants to add Arize AX tracing to their application. Follow the two-phase, agent-assisted flow from the Agent-Assisted Tracing Setup and the Arize AX Tracing — Agent Setup Prompt.

Quick start (for the user)

If the user asks you to "set up tracing" or "instrument my app with Arize", you can start with:

Follow the instructions from https://arize.com/docs/PROMPT.md and ask me questions as needed.

Then execute the two phases below.

Core principles

Sponsors

Details

Repository
github.com/github/awesome-copilot
Categories
DevOps & CI/CD, Git & Pull Requests, AI & Agent Building
First seen
Apr 16, 2026

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