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nature-statistics

Audit and rewrite statistical reporting for Nature journal manuscript submissions.

38.3k|2.1k|Updated Apr 24, 2026
Search Tags:#statistics#figure legends#manuscript review#peer review#replicates#Nature journal#p values
One-click install
npx skills add https://github.com/Yuan1z0825/nature-skills --skill nature-statistics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nature-statistics
Source: https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-statistics
Command: npx skills add https://github.com/Yuan1z0825/nature-skills --skill nature-statistics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Manuscripts submitted to Nature and other high-impact journals are frequently challenged by reviewers over unclear sample sizes, pseudoreplication, undefined error bars, and significance-only language. This Skill audits, rewrites, or drafts statistical reporting text so that Methods, Results, and figure legends are transparent, reproducible, and aligned with the actual study design.

Core Features & Use Cases

  • Statistical Reporting Audit: Reviews Statistical analysis sections, Results paragraphs, and figure legends against Nature Portfolio reporting standards, flagging issues with P0/P1/P2 severity labels.
  • Replication and Design Checks: Distinguishes biological replicates, technical replicates, repeated measures, and independent experimental units to detect pseudoreplication and multiple-comparison risks.
  • Journal-Specific Checklists: Applies flagship Nature Article requirements (exact n, test tails, F/t statistics with degrees of freedom) and Nature Machine Intelligence legend and source-data rules.
  • Use Case: A reviewer comments that your statistics are insufficient. Paste the reviewer comment and your Methods section, and receive a point-by-point response draft, a revised Statistical analysis paragraph, and an AUTHOR_INPUT_NEEDED list of missing facts.

Quick Start

Ask the assistant to check whether your Statistical analysis paragraph and figure legends meet Nature statistical reporting requirements, pasting your manuscript text and noting the target journal.

Frequently Asked Questions about nature-statistics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if my Statistical analysis section meets Nature requirements?▼

Paste your Statistical analysis or Methods text and specify Nature as the target journal. The skill checks exact n values, test tails, ANOVA F and t statistics with degrees of freedom, error-bar definitions, and repeat counts against the Nature Article checklist, returning a pass or AUTHOR_INPUT_NEEDED status per item.

How should I write error bars, n, and p values in figure legends?▼

Each quantitative panel legend should define what n represents, the summary convention such as mean ± s.d. or s.e.m., the test used, multiple-comparison correction, and exact p values or star thresholds. The skill audits legends panel by panel and drafts compliant replacement text.

Can it help respond to reviewer comments about statistics?▼

Yes. Provide the reviewer comment and your manuscript text, and it produces a point-by-point response draft with the manuscript change, replacement wording, and any author-side actions needed. It never claims a new analysis was performed unless you supply the results.

Does it detect pseudoreplication in cell-level or image-based data?▼

It flags cases where n counts cells, fields, or repeated readings instead of independent experimental units like animals, donors, or cultures. It recommends aggregating technical subsamples or using mixed-effects models, but requires author confirmation of the actual design.

What are the limitations of this statistical review approach?▼

It is a reporting and review skill, not a substitute for a statistician reanalyzing raw data. It does not invent sample sizes, p values, or test names, and cannot infer experimental units from figures alone without author confirmation of the design.

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