Data Science & Analytics
Experiments
Run, read, and compare dataset-backed experiments to find evidence that a prompt or pipeline is improving. Trigger when the user wants to iterate over a dataset with experiments, compare experiment runs, read experiment quality/latency/cost, or decide whether a change actually helped. Running a prompt over a dataset is implicitly an experiment — load this skill when dataset-backed work begins, before authoring evaluators for the experiment and before starting the recorded run, not only when reading results. Do NOT trigger on: (1) manual prompt drafting with no dataset-backed evaluation in scope (use `playground`), (2) authoring or refining an evaluator's logic or rubric (use `evaluators`), (3) cross-trace failure diagnosis with no experiment in scope (use `phoenix-error-analysis`).
- Publisher / source
- Arize-ai/phoenix (found on GitHub top repositories)
- Upstream record
- Arize-ai/phoenix
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-04
- Content fingerprint
3c46bdf859e41fc2790cfe5012636521bd664694c3a5fe03817d71a9bff95afa