# Experiment Execution

> Plan, run, monitor, interpret, and reproduce computational or scientific experiments, including run setup, metric tracking, statistical interpretation, failure triage, and reproducibility checks.

- Skill: `yuukias/experiment-execution` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yuukias/experiment-execution`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yuukias/experiment-execution/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: YuukiAS (https://skillmd.com/u/yuukias)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/yuukias/experiment-execution

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# Experiment Execution

Use this when a task moves from paper planning into executable experiments, metrics, or reproducibility checks.

## Workflow

1. Define hypothesis, baseline, treatment, dataset, metric, resource budget, and success criteria.
2. Record exact run configuration before execution: code revision, command, environment, seeds, data split, and output directory.
3. Prefer dry runs or small smoke tests before full runs.
4. Monitor logs and intermediate artifacts. Starting a run is not completion.
5. Interpret results with uncertainty:
   - compare against baseline;
   - check variance or confidence intervals;
   - inspect failure cases;
   - avoid overclaiming from a single run.
6. Package reproducibility evidence: command, config, artifact path, metric table, and known caveats.

## Failure Handling

- If a run fails, preserve the error, config, and last valid artifact.
- If results are weak, report whether the issue is implementation, data, metric mismatch, or hypothesis weakness.
- If a method requires expensive compute, state the smallest meaningful validation first.

## Hand Off

- Use `statistical-analysis` or `bayesian-ppl-diagnostics` for model-level statistical reasoning.
- Use `scientific-visualization` for paper-ready result figures.
- Use `paper-workflow-orchestrator` when results change the manuscript claim.

