scientific-writing
Write rigorous scientific manuscripts, research papers, grant proposals, and literature reviews. Use when drafting or revising any part of a scientific document including abstracts, introductions, methods, results, and discussions. Applies IMRAD structure, citation styles (APA/AMA/Vancouver/IEEE), reporting guidelines (CONSORT/STROBE/PRISMA), and publication standards. Triggers on requests to write research papers, journal articles, scientific reports, academic manuscripts, grant applications, or improve scientific prose.
When & Why to Use This Skill
This Claude skill facilitates the production of high-quality, publication-ready scientific manuscripts, research papers, and grant proposals. It automates the application of rigorous academic standards, including IMRAD structuring, diverse citation styles (APA, AMA, IEEE), and specific reporting guidelines like CONSORT or PRISMA, ensuring clarity, precision, and reproducibility in scientific communication.
Use Cases
- Drafting and structuring full-length research papers following the IMRAD format (Introduction, Methods, Results, and Discussion) to meet peer-review standards.
- Converting experimental data and protocols into detailed, reproducible Methods sections compliant with international reporting guidelines such as STROBE or CONSORT.
- Synthesizing comprehensive literature reviews by organizing thematic evidence and ensuring all substantive claims are backed by peer-reviewed citations.
- Refining scientific prose for clarity and precision, including the correct use of domain-specific terminology and appropriate verb tenses for different manuscript sections.
- Preparing grant applications and technical reports that adhere to strict publication standards and evidence-based writing principles.
| name | scientific-writing |
|---|---|
| description | Write rigorous scientific manuscripts, research papers, grant proposals, and literature reviews. Use when drafting or revising any part of a scientific document including abstracts, introductions, methods, results, and discussions. Applies IMRAD structure, citation styles (APA/AMA/Vancouver/IEEE), reporting guidelines (CONSORT/STROBE/PRISMA), and publication standards. Triggers on requests to write research papers, journal articles, scientific reports, academic manuscripts, grant applications, or improve scientific prose. |
Scientific Writing
Write publication-ready scientific manuscripts using established academic conventions and evidence-based practices.
Core Principles
Evidence-Based Claims
Every substantive claim requires support from peer-reviewed literature. Use appropriate hedging: "suggests" for correlational evidence, "demonstrates" for causal evidence. Never assert without citation or data support.
Clarity Over Flourish
Scientific writing prioritizes precision. Use domain-specific terminology correctly, define terms on first use, prefer active voice in methods, and avoid vague qualifiers ("very significant" → "statistically significant, p < 0.001").
Reproducibility Standard
Methods must enable replication: include all parameters, software versions, statistical tests, sample sizes, inclusion/exclusion criteria, effect sizes alongside p-values, and relevant reporting guideline compliance.
Two-Stage Writing Process
Stage 1: Outline with Evidence Create structured outlines with bullet points marking main arguments, key citations, data points, and logical flow. This is scaffolding—not the final manuscript.
Stage 2: Convert to Prose Transform outlines into complete paragraphs with proper transitions, integrated citations, and logical sentence flow. Final manuscripts contain NO bullet points except in specific Methods subsections (inclusion criteria, materials lists).
Manuscript Structure (IMRAD)
Abstract
Write as flowing paragraph(s), NOT labeled sections. Cover: (1) context/problem, (2) methods summary, (3) key findings with statistics, (4) significance. Typically 150-300 words. Only use structured format if journal explicitly requires it.
Example structure:
[Context sentence establishing importance]. [Gap or problem addressed].
[Study objective]. [Methods: design, N, key measures]. [Primary result with
statistics]. [Secondary findings]. [Conclusion and implications].
Introduction
Follow funnel structure:
- Broad context (1-2 paragraphs): field importance
- Literature review (2-4 paragraphs): what is known, organized thematically
- Gap identification (1 paragraph): what remains unknown
- Present study (1 paragraph): objectives, hypotheses, approach
Methods
Standard subsections:
- Participants/Subjects: demographics, recruitment, ethics approval
- Materials/Stimuli: detailed descriptions, validated instrument citations
- Procedure: chronological protocol with timing
- Data Analysis: statistical approach, software, multiple comparison corrections
Include power analysis. Report all conditions. Enable replication.
Results
Structure: (1) preliminary analyses, (2) primary hypotheses, (3) secondary/exploratory (labeled).
Report consistently:
- Descriptive: M ± SD or Mdn (IQR)
- Inferential with effect sizes: "t(48) = 2.31, p = .025, d = 0.67"
- Confidence intervals when possible
No interpretation here—save for Discussion.
Discussion
Structure: (1) summary without statistics, (2) interpretation in literature context, (3) limitations, (4) implications, (5) future directions, (6) conclusion.
Address alternative explanations. Avoid overclaiming.
Citation Practices
Source Hierarchy
- Systematic reviews/meta-analyses (strongest synthesis)
- Randomized controlled trials (causal inference)
- Prospective cohort studies (temporal precedence)
- Cross-sectional studies (associations)
- Case studies/expert opinion (hypothesis-generating)
Best Practices
- Cite primary sources, not secondary summaries
- Balance recent work (last 5 years) with foundational papers
- Verify claims against original sources
- Flag contradictory evidence rather than omitting it
- Self-citations <20%
For detailed citation formatting by style, see references/citation_styles.md.
Reporting Guidelines
Match guideline to study type:
- CONSORT: Randomized controlled trials
- STROBE: Observational studies (cohort, case-control, cross-sectional)
- PRISMA: Systematic reviews and meta-analyses
- STARD: Diagnostic accuracy studies
- TRIPOD: Prediction models
- ARRIVE: Animal research
- CARE: Case reports
For checklists and details, see references/reporting_guidelines.md.
Writing Style
Verb Tense
| Section | Tense |
|---|---|
| Introduction (established facts) | Present |
| Introduction (prior studies) | Past |
| Methods | Past |
| Results | Past |
| Discussion (your findings) | Past |
| Discussion (interpretations) | Present |
| Conclusions | Present |
Common Errors
| Error | Correction |
|---|---|
| "Data shows..." | "Data show..." (plural) |
| "Proves that..." | "Suggests/demonstrates that..." |
| "Significant" (colloquial) | "Substantial" or "statistically significant" |
| "In order to" | "To" |
| "Due to the fact that" | "Because" |
Paragraph Structure
- Open with topic sentence stating main point
- Provide evidence and elaboration
- Connect logically to next paragraph
- Typical length: 4-8 sentences
Field-Specific Conventions
Biomedical/Clinical
- Use precise anatomical/clinical terminology
- Follow standardized nomenclature (ICD, DSM, SNOMED-CT)
- Generic drug names first, brands in parentheses
- "Patients" for clinical, "participants" for community research
Molecular Biology
- Gene symbols italicized (TP53), proteins regular (p53)
- Species-specific: human uppercase (BRCA1), mouse sentence case (Brca1)
- Full species name first, then abbreviation (Escherichia coli → E. coli)
Chemistry
- IUPAC nomenclature for compounds
- Concentrations with units (mM, μM, nM)
- Standard notation (SMILES, InChI)
For comprehensive field conventions, see references/field_conventions.md.
Figures and Tables
When to Use Which
- Tables: Precise numerical data, exact values needed
- Figures: Trends, patterns, relationships, visual comparisons
Requirements
- Self-explanatory with complete captions
- Consistent formatting and terminology
- All axes/columns labeled with units
- Sample sizes (n) and statistical annotations
- No duplication between text, tables, and figures
For detailed guidance, see references/figures_tables.md.
Workflow Summary
Stage 1: Planning
- Identify target journal, review author guidelines
- Determine applicable reporting guideline
- Outline manuscript structure
- Plan figures/tables as data story backbone
Stage 2: Drafting
- Start with figures/tables
- Draft Methods first (easiest)
- Write Results (describe figures/tables)
- Compose Discussion (interpret findings)
- Write Introduction (set up research question)
- Craft Abstract last (summarize complete work)
Stage 3: Revision
- Check logical flow throughout
- Verify terminology consistency
- Confirm reporting guideline adherence
- Verify all citations accurate
- Proofread for clarity
Pre-Submission Checklist
- Abstract accurately reflects content (written as prose, not labeled sections)
- All claims have citations or data support
- Methods enable replication
- Statistics include effect sizes and CIs
- Figures have informative captions
- References follow target journal style
- Reporting guideline checklist completed
- Word count within limits
- Author contributions and conflicts declared