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Arize Skills encode the workflows we’ve refined building the Arize AX platform and helping teams debug LLM apps in production. They handle the ax CLI flags, data shape quirks, and multi-step recipes so your agent doesn’t have to guess. Your agent gets the full Arize workflow — add tracing, export traces, create datasets, run experiments, set up evaluators, manage annotations, optimize prompts — all through natural language. Works with Cursor, Claude Code, Codex, Windsurf, and 40+ other agents.
Already have traces? Give your agent this prompt to install skills and start debugging:

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Next steps

Install & authenticate

Install the AX CLI, set up credentials, and add skills to your agent.

Skill catalog

Every available skill and what it does.

CLI reference

Flags for ax skills install and ax skills clear.

Coding agent setup

The other agent paths — npx evals, Paste-and-Go, and MCP servers.

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Skills, MCP servers, or npx evals?

  • Skills — you want your agent to run Arize workflows end to end: export traces, build datasets, run experiments, create evaluators, optimize prompts.
  • MCP servers — you want persistent instrumentation guidance and doc search in your IDE.
  • npx evals — you have no account or traces yet and want one command to do everything.
Looking for the skills you attach to an Arize managed agent? Those are a different thing — account-level integrations that let an Arize-hosted sandbox worker reach GitHub, Datadog, and the Arize API. Same idea, different runtime: those run in Arize, these run on your machine.