Individual skill
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`).
src/phoenix/server/agents/prompts/skills/experiments/SKILL.md
Source commit f9382db47424df20a427c00acc193f87084598a2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 12,203
- Repository last updated
- Nov 7, 2026
- License
- NOASSERTION
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- llmops Repository topic
- ai-monitoring Repository topic
- ai-observability Repository topic
- llm-eval Repository topic
- aiengineering Repository topic
- datasets Repository topic
- agents Repository topic
- llms Repository topic
- prompt-engineering Repository topic
- anthropic Repository topic
- engineering Derived category
Files and excerpt
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SKILL.mdcore · 7,094 bytes
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