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 |
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".