latex-writing
Write and format LaTeX documents for academic journals.
Skill by beita6969
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/beita6969-latex-writing
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About
Use cases: documents, data, writing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/latex-writing
What's inside
- Skill name
latex-writing- Description
- Write and format LaTeX documents for academic journals. Use when: user asks to write LaTeX code, format papers for specific journals (Nature/Science/IEEE/ACM), create equations, tables, or BibTeX entries. NOT for: non-LaTeX writing (use paper-writing), data analysis, or literature search.
- License
- MIT
- Instructions
- 234 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# LaTeX Academic Writing
Generate publication-ready LaTeX documents, equations, tables, and bibliography entries for academic journals across all disciplines.
## When to Use
- "Write this section in LaTeX for Nature"
- "Format this equation in LaTeX"
- "Create a BibTeX entry for this paper"
- "Generate a LaTeX table from this data"
- "Set up a LaTeX document for IEEE conference"
- "Help me with natbib citation commands"
## When NOT to Use
- General paper writing advice (use paper-writing)
- Literature searching (use literature-search)
- Statistical analysis (use statsmodels-stats or scipy-analysis)
- Figure generation (use matplotlib-viz)
## Journal Templates
### Nature / Nature Communications
```latex
\documentclass[12pt]{article}
\usepackage{times}
\usepackage[margin=2.5cm]{geometry}
\usepackage{amsmath,graphicx,hyperref}
\usepackage[numbers,sort&compress]{natbib}
% Nature: Title, Authors, Affiliations, Abstract (150 words max),
% Main text (2500 words), Methods, References (max 30), Figures (max 6)
\title{Title (max 90 characters)}
\author{Author One$^{1,*}$, Author Two$^{2}$}
\date{}
\begin{document}
\maketitle
\begin{abstract}
% 150 words max. No references. No abbreviations.
\end{abstract}
\section*{Introduction}
\section*{Results}
\section*{Discussion}
\section*{Methods}
\bibliographystyle{naturemag}
\bibliography{refs}
\end{document}
```
### IEEE Conference (IEEEtran)
```latex
\documentclass[conference]{IEEEtran}
\usepackage{amsmath,graphicx,cite}
\title{Paper Title}
\author{\IEEEauthorblockN{First Author}
\IEEEauthorblockA{Affiliation\\Email}}
\begin{document}
\maketitle
\begin{abstract}
% 150-200 words
\end{abstract}
\begin{IEEEkeywords}
keyword1, keyword2
\end{IEEEkeywords}
\section{Introduction}
\section{Related Work}
\section{Methodology}
\section{Experiments}
\section{Conclusion}
\bibliographystyle{IEEEtran}
\bibliography{refs}
\end{document}
```
### ACM (acmart)
```latex
\documentclass[sigconf,review]{acmart}
\title{Paper Title}
\author{Name}{Affiliation}{email}{orcid}{}
\begin{document}
\begin{abstract}
\end{abstract}
\begin{CCSXML}
% ACM CCS concepts
\end{CCSXML}
\keywords{keyword1, keyword2}
\maketitle
\section{Introduction}
\bibliographystyle{ACM-Reference-Format}
\bibliography{refs}
\end{document}
```
### PNAS
```latex
\documentclass[9pt,twocolumn,twoside]{pnas-new}
% 6 pages max, abstract 250 words, significance 120 words
```
### Social Science (APA 7th - apa7)
```latex
\documentclass[man,12pt]{apa7}
\usepackage[english]{babel}
\usepackage{csquotes}
\usepackage[style=apa,backend=biber]{biblatex}
\addbibresource{refs.bib}
\title{Title}
\authorsnames{Author Name}
\authorsaffiliations{University}
\abstract{Abstract text}
\keywords{keyword1, keyword2}
\begin{document}
\maketitle
\section{Introduction}
\printbibliography
\end{document}
```
## Equation FormattingFrom beita6969/ScienceClaw, MIT.
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Signals
- Stars
- 1,019
- Forks
- 109
- Open issues
- 1
- Last commit (this folder)
- Mar 12, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/beita6969/ScienceClaw
- Website
- scienceclaw.science
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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SkillAFreshness: A★ 1KClaude Code +9 - 0.608score
scienceclaw-benchmark-for34
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Use when predicting a binary molecular property such as HIV replication inhibition (OGB ogbg-molhiv, MoleculeNet-style activity) from SMILES strings and…
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Cite this page
latex-writing skill. Agent Mart. https://agentmart.dev/skills/beita6969-latex-writing (last updated 2026-10-24)