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Found 26 Skills
Audit whether an ML or AI paper's experimental baselines are necessary, fair, current, and reviewer-proof. Use this skill whenever the user is planning experiments, comparing methods, choosing baselines, worried about missing SOTA or unfair comparisons, preparing a reviewer-proof experiment section, or converting a literature review into must-have, should-have, optional, and not-comparable baselines.
This skill should be used when the user asks to "set up an A/B test", "calculate sample size", "design an experiment", "analyze A/B test results", "check statistical significance", "determine test duration", or "evaluate conversion rate experiments".