Agent skill · research science · yuan1z0825
nature-statistics
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.
Why this skill is useful
Provides domain-specific knowledge on statistical reporting standards and practices for high-impact journal submissions that the AI wouldn't reliably generate on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-08-07. 33,818 stars on the source repository.
What this skill does
Nature Statistics Reporting Skill 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 explicitly asks for computation. Default stance Prioritize design transparency over decorative statistical language. Separate three questions: what was measured, what unit was analysed, and what inference was claimed. Treat the independent experimental unit as the default n; do not silently treat cells, fields of view, repeated readings, spectra, model runs, or technical replicates as independent biological or experimental samples. Prefer effect sizes, uncertainty intervals, sample sizes, and exact test definitions over significance-only phrasing. State missing information as AUTHORINPUTNEEDED instead of inventing sample sizes, tests, software, corrections, exclusion rules, randomization, or blinding. If a journal-specific instruction, study-type guideline, or field standard conflicts with this skill, follow the more specific source and mark the source used. Accepted inputs The skill may receive: a Statistical analysis / Methods subsection Results paragraphs containing test statistics or p values figure panels, legends, captions, or source-data notes reviewer comments about statistics author notes in Chinese or English tables of reported comparisons raw or summary data, only when the user wants a concrete reanalysis or figure-statistics check If the input is partial, run a bounded audit and state which parts cannot be assessed. Workflow 1. Classify the task. Decide whether the user wants audit, rewrite, draft, reviewer-response support, figure-statistics alignment, or data-backed reanalysis. 2. Extract the design. Identify groups, treatments, time points, endpoints, blocking factors, repeated measures, randomization, blinding, exclusions, and missing-data handling. 3. Define n and replication. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills yuan1z0825/nature-statistics