What problem does it solve? Manuscript statistics sections often hide pseudoreplication, undefined error bars, uncorrected multiple comparisons, or significance-only claims that trigger reviewer rejection. This Skill audits, rewrites, or drafts statistical reporting so Methods, Results, and figure legends are transparent, reproducible, and aligned with the actual study design. ## Core Features & Use Cases - Statistical Reporting Audit: Classifies issues by severity (P0/P1/P2), detecting pseudoreplication, wrong interaction inference, analysis-unit mismatch, and uncorrected multiple comparisons. - Ready-to-Paste Rewrites: Produces conservative Statistical analysis paragraphs, Results wording, and figure-legend text with explicit n definitions, test names, and correction strategies. - Reviewer Response Support: Drafts point-by-point responses to statistical reviewer comments and generates AUTHOR_INPUT_NEEDED checklists for missing design facts. - Use Case: A reviewer says your statistics are insufficient because n counts cells rather than animals. Use this Skill to identify the independent experimental unit, rewrite the legend with panel-specific n and exact p values, and draft a conservative response letter. ## Quick Start Ask the assistant to review the Statistical analysis section and figure legends of your manuscript for Nature-style reporting issues and produce a revised draft.