An Arize experiment helps you test and compare how well your AI models perform. You can create an experiment, run it on a set of data, and see the results. This skill uses the ax CLI to manage everything from the command line.
Data scientists and machine learning engineers benefit the most. They can benchmark different models, A/B test new versions, and track metrics like accuracy or relevance. The system records each output and evaluation automatically.
You can list past experiments, get details on a specific one, and export the results in formats like JSON or CSV. This makes it easy to share findings with your team or compare results over time.
Global
mkdir -p ~/.claude/skills/arize-experimentProject
mkdir -p .claude/skills/arize-experimentSource Repository
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