scientific-manuscript
SkillDev tools--- 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.
Use scientific-manuscript in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add scientific-manuscript and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the scientific-manuscript skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
The largest open-source medical AI skills library for OpenClaw🦞.
What this skill tells your AI
The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/scientific-manuscript/SKILL.md and read by Ahel’s review.
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)
- Paragraph 1: Broad context, disease burden, clinical relevance
- Paragraph 2: Current knowledge, key mechanisms
- Paragraph 3: Knowledge gap, unanswered questions
- 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.
Signals
- GitHub stars
- 3k
- Forks
- 412
- Last commit
- Jul 2026
Advanced
- Item type
- skill
- Key
scientific-manuscript- Source
- github.com/freedomintelligence/openclaw-medical-skills
github.com/freedomintelligence/openclaw-medical-skills
Related picks
Skill · wshobson
The pick for Pythonpython-pro
Skill · jeffallan
The pick for Pythonlark-markdown
Skill · larksuite
The pick for Markdownmarkdown-formatter
Skill · nvidia
The pick for Markdownteach
Skill · mattpocock
More in Dev toolsimplement
Skill · mattpocock
More in Dev tools