# arize-instrumentation

> Claude/Codex skill by [@arize-ai](https://omgskills.com/library/arize-ai/index.md) · 65 stars · Updated 2026-10-16

Adds Arize AX tracing to an LLM application for the first time. Detects the stack, routes to the single matching integration doc, wires auto-instrumentation after user confirmation, and verifies traces land. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.

Tags: agent-skills, ai-agents, ai-observability, arize, claude-code, codex, cursor, datasets, experiments, llmops, tracing

## Install

```sh
git clone https://github.com/Arize-ai/arize-skills /tmp/arize-skills && ln -s /tmp/arize-skills/skills/arize-instrumentation ~/.claude/skills/arize-instrumentation
```

## From README

Arize Instrumentation Skill Add Arize AX tracing to an app for the first time: detect the stack → fetch the one matching integration doc → wire auto-instrumentation → verify a trace lands. Route locally. Map the detected stack to a single doc page via references/integration-routing.md and fetch only that page. When the app uses an agent framework, route on the framework, not the provider SDK it wraps — a bare openai/anthropic import inside a framework app is not the integration target; route to a provider page only when the app calls the provider SDK directly with no framework in play. When the stack isn't listed there, search llms.txt for its integration page per the router; with no match, use manual instrumentation. Never bulk-read the PROMPT.md aggregate.

## Links

- HTML page: https://omgskills.com/skills/arize-ai/arize-skills/arize-instrumentation/
- GitHub: https://github.com/Arize-ai/arize-skills
- Author: [@arize-ai](https://omgskills.com/library/arize-ai/index.md)

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