# Arize Skills

Skills that guide AI coding agents to help you add observability, run experiments, and optimize prompts for your LLM applications.

These skills encode the workflows we've refined building the [Arize](https://arize.com) platform and helping teams debug LLM apps in production. They handle the `ax` CLI flags, data shape quirks, and multi-step recipes so you don't have to.

Works with Cursor, Claude Code, Codex, GitHub Copilot, Windsurf, and [40+ other agents](https://github.com/vercel-labs/skills#supported-agents).

## New to Arize? Start Here

**Adding tracing to your app** — give your coding agent this prompt:

> Install Arize skills from https://github.com/Arize-ai/arize-skills and use the arize-instrumentation skill to add tracing to this application.

The agent installs the skills, instruments your app, and verifies a trace reaches Arize AX — all in one session. You'll just need to provide your Arize credentials and approve the code changes.

**Already have traces?** Give your agent this prompt to install the skills and start debugging:

> Install Arize skills from https://github.com/Arize-ai/arize-skills, then use the arize-trace skill to export and analyze recent traces from my project. Summarize any errors or latency issues you find.

## Installation

### Option 1: npx (recommended)

Install all skills non-interactively — this is what the agent runs for the prompt above:

```bash npx skills add Arize-ai/arize-skills --skill "*" --yes ```

Want to hand-pick skills, agent, and scope yourself? Drop the flags for the interactive wizard:

```bash npx skills add Arize-ai/arize-skills ```

Both auto-detect your agent (Cursor, Claude Code, Codex, etc.) and symlink skills into place.

### Option 2: git clone

**macOS / Linux:** ```bash git clone https://github.com/Arize-ai/arize-skills.git cd arize-skills ./install.sh --project ~/my-project ```

**Windows (PowerShell):** ```powershell git clone https://github.com/Arize-ai/arize-skills.git cd arize-skill