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Scientific Experiment Design is a specialized skill for Claude Code that provides a structured framework for conducting statistically sound research. It automates essential reproducibility steps like random seed management and environment logging while guiding users through advanced statistical methodologies. From power analysis for sample size determination to pre-registration patterns that prevent p-hacking, this skill ensures that experiments—ranging from A/B tests to machine learning model evaluations—are rigorous, valid, and easily documented for peer review or stakeholder reporting.
