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nature-statisticslisted

Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions. Use when the user asks to check statistical analysis sections, p values, confidence intervals, sample size, biological versus technical replicates, randomization, blinding, multiple-comparison correction, model assumptions, figure legends, Results statistics wording, reviewer comments about statistics, or Chinese academic drafts needing publication-ready Statistical analysis text. Also trigger on general paper-statistics requests such as 统计审查、统计分析小节、统计方法、p值、样本量、重复数、多重比较、置信区间、效应量、图注统计、审稿人统计意见.
szzjayson25-hub/nature-academic-skills · ★ 0 · AI & Automation · score 70
Install: claude install-skill szzjayson25-hub/nature-academic-skills
# Nature Statistics Reporting Skill ## Additional configured journals For Applied Soft Computing (ASC), Engineering Applications of Artificial Intelligence (EAAI), ISA Transactions, Knowledge-Based Systems (KBS), Measurement, Neurocomputing, or IEEE Transactions on Reliability, use `../nature-shared/journal-formats/index.md` to resolve the exact journal. Preserve this skill’s task workflow and evidence safeguards. Apply only the selected reference’s relevant scope; do not impose flagship-Nature significance or import another journal’s numerical, citation, or production defaults. These seven profiles do not yet establish verified official submission limits; verify the target’s current official source when such requirements affect work. ## ESWA journal context When the target is Expert Systems with Applications (`ESWA` or `Expert Syst. Appl.`, case-insensitive), read `../nature-shared/journal-formats/eswa.md` before applying journal-specific defaults. Use its data/artwork requirements and distinguish them from general statistical best practices. Preserve the current statistics audit; do not impose a Nature reporting summary or a journal-wide run-count/significance threshold. For ML/RUL, distinguish experimental units, windows and random seeds. Use this skill to make manuscript statistics transparent, reproducible, and appropriately bounded. It is a reporting and review skill, not a substitute for a statistician reanalysing raw data unless the user supplies the data and ex