skills/43-wentorai-research-plugins/skills/writing/composition/scientific-writing-guide/SKILL.md
Curated tools and techniques for scientific writing beyond LaTeX
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research scientific-writing-guideInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Scientific writing is a specialized skill that demands clarity, precision, and adherence to disciplinary conventions. Whether you are drafting a journal article, conference paper, or grant proposal, the quality of your prose directly influences how reviewers and readers perceive your research.
This guide distills best practices from the awesome-scientific-writing community (920+ stars) and supplements them with actionable techniques for structuring papers, writing compelling titles and abstracts, choosing the right authoring tools, and polishing manuscripts to publication quality. The focus is on practical, tool-agnostic advice that works across STEM and social-science disciplines.
Modern scientific writing extends well beyond LaTeX. Markdown-based workflows (Pandoc, Quarto, Jupyter Book), collaborative platforms (Overleaf, HackMD), and reference managers (Zotero, Paperpile) have reshaped how researchers draft and publish. This skill helps you navigate these options and adopt a workflow that fits your team.
A well-structured paper guides the reader from problem to contribution with minimal friction. The standard IMRaD (Introduction, Methods, Results, and Discussion) skeleton remains the default for empirical work, but variations exist for theoretical, review, and systems papers.
| Section | Purpose | Typical Length | |---------|---------|---------------| | Title | Concise summary of contribution | 8-15 words | | Abstract | Self-contained overview | 150-300 words | | Introduction | Context, gap, contribution | 1-2 pages | | Related Work | Position within the field | 1-2 pages | | Methods | Reproducible description | 2-4 pages | | Results | Empirical findings | 2-3 pages | | Discussion | Interpretation and limitations | 1-2 pages | | Conclusion | Takeaways and future work | 0.5-1 page |
A strong title is specific, informative, and free of jargon abbreviations. Compare:
Rules of thumb:
Use the four-sentence abstract formula:
Example template:
[Domain] faces the challenge of [problem]. Existing approaches [limitation].
We propose [method], which [key innovation]. Experiments on [benchmarks]
show that [method] achieves [metric improvements], demonstrating [significance].
For researchers who prefer plain text and version control:
# Convert Markdown to PDF via LaTeX
pandoc paper.md \
--citeproc \
--bibliography refs.bib \
--csl ieee.csl \
--pdf-engine=xelatex \
-o paper.pdf
# Convert to DOCX for collaborators
pandoc paper.md \
--citeproc \
--bibliography refs.bib \
-o paper.docx
Quarto extends R Markdown to Python, Julia, and Observable JS:
# _quarto.yml
project:
type: manuscript
manuscript:
article: paper.qmd
format:
html: default
pdf:
template: elsevier.tex
| Tool | Best For | Collaboration | Version Control | |------|----------|---------------|-----------------| | Overleaf | LaTeX teams | Real-time | Git integration | | Quarto | Code + prose | Git | Native | | Google Docs | Non-technical coauthors | Real-time | Suggest mode | | Typst | Fast typesetting | Git | Native |
development
Conduct rigorous thematic analysis (TA) of qualitative data following Braun and Clarke's (2006) six-phase framework. Use whenever the user mentions 'thematic analysis', 'TA', 'Braun and Clarke', 'qualitative coding', 'identifying themes', or asks for help analysing interviews, focus groups, open-ended survey responses, or transcripts to identify patterns. Also trigger for questions about inductive vs theoretical coding, semantic vs latent themes, essentialist vs constructionist epistemology, building a thematic map, or writing up a qualitative findings section. Covers all six phases, the four upfront analytic decisions, the 15-point quality checklist, and the five common pitfalls. Produces a Word document write-up and an annotated thematic map. Does NOT cover IPA, grounded theory, discourse analysis, conversation analysis, or narrative analysis — use a different method for those.
development
Guide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, structuring, or auditing a literature review that follows reporting guidelines. Also trigger when the user asks about inclusion/exclusion criteria for a review, search strategies for databases like Scopus/WoS/PubMed, study selection processes, risk of bias assessment, or narrative synthesis for a review paper. This skill covers the full PRISMA 2020 checklist (27 items), produces a Word document manuscript in strict journal article format, generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing throughout. It does NOT cover meta-analysis or statistical pooling. By Chuah Kee Man.
testing
Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance. Use when checking model robustness, verifying lack of pre-intervention effects, or estimating study power.
data-ai
Fit, summarize, plot, and interpret a chosen CausalPy experiment. Use after the causal method has been selected, including when configuring PyMC/sklearn models and scale-aware custom priors.