scientific-writing-guide
Curated tools and techniques for scientific writing beyond LaTeX
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Curated tools and techniques for scientific writing beyond LaTeX
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
公司金融实证研究的"漏斗式选题查找器"。互动开场先后询问 (1) 研究方向、(2) 候选标题数量 N, 再扫描全球文献(已出版英文学术期刊 + SSRN working paper + 全球高校 department seminar 1 年内日程),基于 Edmans (2024) "1000 Rejections" 红线生成 N 个候选标题,**通过并行 subagent(Agent 工具)批量生成计划书 + 查新;每个 subagent 必须强制调用 Skill 工具加载 econfin-proposal 与 novelty-check 两个预设 skill 完成各自模块**,**只有当 novelty score >= 9 时(即 JF/JFE/RFS 顶刊层次),subagent 才把 proposal + 查新报告合并的 md 写入 F:\Dropbox\CC\选题大全\<研究方向短名>\(以"简短选题名称-分数"命名,子文件夹名由 Step 0 从用户输入的研究方向派生);< 9 分的选题在 subagent 内部直接丢弃,绝不写盘、绝不输出**。当用户说"找选题"、"帮我找选题"、"想做 X 方向"、 "empirical CF idea search"、"批量生成研究计划书"、"100 ideas"、"econfin-idea-finder" 时触发。
Create and compile beautiful Beamer presentations following the Rhetoric of Decks philosophy. Use when making slides, creating decks, or compiling .tex presentation files.
Scaffold a new research project with standard directory structure, CLAUDE.md template, and documented README. Use this at the start of every new project to ensure consistent organization.
Download, split, and deeply read academic PDFs. Use when asked to read, review, or summarize an academic paper. Splits PDFs into 4-page chunks, reads them in small batches, and produces structured reading notes — avoiding context window crashes and shallow comprehension.
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
| name | scientific-writing-guide |
| description | Curated tools and techniques for scientific writing beyond LaTeX |
| metadata | {"openclaw":{"emoji":"🖊","category":"writing","subcategory":"composition","keywords":["academic writing style","scientific writing","formal English","paper title writing","abstract writing"],"source":"https://github.com/writing-resources/awesome-scientific-writing"}} |
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 |