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Scientific Manuscript

  • 17 installs
  • 869 repo stars
  • Updated June 8, 2026
  • beita6969/scienceclaw

scientific-manuscript is a Claude skill that guides preparation of high-impact scientific manuscripts, covering structure, statistical reporting, and journal-specific formatting.

About

This skill guides scientific manuscript preparation for high-impact journals like Nature, Blood, and Cell. A researcher uses it to write abstracts, introductions, methods, results, discussions, and figure legends to journal standards. It covers citation management, statistical reporting standards, ICMJE guidelines, and journal-specific formatting for hematology and oncology.

  • Section-by-section structure for high-impact journals (Nature, Blood, Cell)
  • Statistical reporting standards and citation formats (Vancouver, Nature)
  • Journal-specific word, figure, and reference limits plus HIPAA reminders

Scientific Manuscript by the numbers

  • 17 all-time installs (skills.sh)
  • Ranked #1,034 of 1,879 Documentation skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
At a glance

scientific-manuscript capabilities & compatibility

Capabilities
documentation · copywriting
Use cases
documentation · copywriting
Pricing
Free
From the docs

What scientific-manuscript says it does

High-impact scientific manuscript preparation for journals like Nature, Blood, Cell.
SKILL.md
Report exact P values (P = 0.003, not P < 0.05)
SKILL.md
Word limit: 4000 (full article)
SKILL.md
npx skills add https://github.com/beita6969/scienceclaw --skill scientific-manuscript

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Listed on Skillselion
Installs17
repo stars869
Last updatedJune 8, 2026
Repositorybeita6969/scienceclaw

What it does

Write and format a scientific manuscript for a high-impact journal such as Nature, Blood, or Cell.

Who is it for?

Structuring and formatting a manuscript to the standards of Nature, Blood, or Cell.

Skip if: Building presentation slides or generating diagrams (separate scienceclaw skills).

When should I use this skill?

Writing abstracts, introductions, methods, results, discussions, or figure legends for a journal submission.

What you get

A manuscript structured and formatted to a target journal's word, figure, reference, and statistical-reporting standards.

  • structured manuscript sections
  • figure legends
  • formatted references

By the numbers

  • Blood word limit 4000, 60 references max
  • Introduction ~500-800 words

Files

SKILL.mdMarkdownGitHub ↗

<!--

COPYRIGHT NOTICE

This file is part of the "Universal Biomedical Skills" project.

Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>

All Rights Reserved.

#

This code is proprietary and confidential.

Unauthorized copying of this file, via any medium is strictly prohibited.

#

Provenance: Authenticated by MD BABU MIA

-->

--- name: scientific-manuscript description: "High-impact scientific manuscript preparation for journals like Nature, Blood, Cell. Use when writing abstracts, introductions, methods, results, discussions, or figure legends. Includes citation management, statistical reporting standards, ICMJE guidelines, and journal-specific formatting for hematology/oncology publications." license: Proprietary ---

Scientific Manuscript Preparation

Document Structure for High-Impact Journals

Title

  • Concise (<15 words for Nature, <20 for Blood)
  • Include key finding and system/disease
  • Avoid jargon and abbreviations

Abstract (Structured for Blood/Clinical Journals)

**Background:** One sentence on knowledge gap.
**Methods:** Key approaches, patient cohort size, techniques.
**Results:** Primary findings with statistics (P values, CIs).
**Conclusions:** Clinical/translational significance.

Introduction (~500-800 words)

1. Paragraph 1: Broad context, disease burden, clinical relevance 2. Paragraph 2: Current knowledge, key mechanisms 3. Paragraph 3: Knowledge gap, unanswered questions 4. Paragraph 4: Study aims, hypothesis, approach overview

Methods (Detailed, Reproducible)

**Patient Cohort and Samples**
- IRB approval number, consent process
- Inclusion/exclusion criteria
- Sample processing, storage conditions

**Single-Cell RNA Sequencing**
- Library preparation (10x Genomics Chromium 3' v3.1)
- Sequencing platform, read depth
- Quality metrics (cells/sample, genes/cell, % mitochondrial)

**Computational Analysis**
- Software versions (Scanpy 1.9.x, scvi-tools 0.20.x)
- QC thresholds (min genes, max %MT)
- Integration method (TotalVI, Harmony)
- Clustering parameters (resolution, n_neighbors)
- Differential expression (Wilcoxon, FDR < 0.05, |log2FC| > 1)

**Statistical Analysis**
- Software (R 4.3.x, Python 3.11)
- Tests used with justification
- Multiple testing correction method
- Power analysis if applicable

Results (~2000-3000 words)

  • Lead each paragraph with key finding
  • Reference figures in order (Figure 1A-C...)
  • Report exact P values (P = 0.003, not P < 0.05)
  • Include confidence intervals where relevant
  • Avoid interpretation; save for Discussion

Discussion (~1500-2000 words)

**Paragraph 1**: Summarize key findings, relate to hypothesis

**Paragraph 2-4**: Compare to existing literature
- "Consistent with [Author et al.], we found..."
- "In contrast to [Study], our analysis revealed..."
- Mechanistic interpretation

**Paragraph 5**: Translational/Clinical implications
- Therapeutic targets
- Biomarkers
- Patient stratification

**Paragraph 6**: Limitations
- Sample size, cohort characteristics
- Technical limitations
- Generalizability

**Paragraph 7**: Future directions and conclusion

Statistical Reporting Standards

Continuous Variables

  • Mean ± SD (normal) or Median [IQR] (non-normal)
  • Report normality test used

Categorical Variables

  • N (%) with comparison test

P Values

  • Report exact values (P = 0.023)
  • For very small: P < 0.0001
  • Always report test used

Sample Sizes

  • "n = X patients" or "n = X cells"
  • Report for each comparison group

Figure Legends Template

**Figure 1. Title describes main finding**
(A) Brief description of panel A. Statistical test, P value.
(B) Description including axis labels if not obvious.
(C-D) Can combine similar panels.
Scale bars: X μm. Error bars: mean ± SEM. *P < 0.05, **P < 0.01, ***P < 0.001.
n = X biological replicates from Y independent experiments.

Reference Formatting

Blood Journal (Vancouver)

1. Smith JA, Jones BC. Title of article. Blood. 2024;143(5):567-578.

Nature (Author-Year)

Smith, J.A. & Jones, B.C. Title of article. Nature 620, 567–578 (2024).

Journal-Specific Requirements

Blood (ASH)

  • Word limit: 4000 (full article)
  • Figures: 7 max
  • References: 60 max
  • Structured abstract: 250 words

Nature

  • Word limit: ~3000 (Article)
  • Main text figures: 6-8
  • Methods: no limit, separate section
  • Extended Data for supplementary figures

Cell

  • Word limit: 7000 (Article)
  • STAR Methods format
  • Graphical abstract required

HIPAA Compliance Reminders

  • No patient identifiers in any form
  • Use Specimen IDs, not patient names/MRNs
  • Aggregate data for small groups (n < 5)
  • IRB approval statement required
  • Data availability statement (GEO accession for sequencing)

Writing Style

  • Active voice preferred
  • Past tense for results ("We found...")
  • Present tense for established facts
  • Avoid "interesting," "significant" (unless statistical)
  • Be specific: "83.9-fold increase" not "marked increase"

See references/journal_templates.md for specific formats. See references/statistical_tests.md for test selection guide.

<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

Related skills

FAQ

Which journals does it target?

High-impact journals including Nature, Blood, and Cell, each with specific word, figure, and reference limits.

How should p-values be reported?

Report exact values such as P = 0.023, and P < 0.0001 for very small values, always with the test used.

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