skills/43-wentorai-research-plugins/skills/writing/templates/elegant-paper-template/SKILL.md
Beautiful LaTeX template for working papers and technical reports
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research elegant-paper-templateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
ElegantPaper is a beautifully designed LaTeX template from the ElegantLaTeX project, tailored for working papers, technical reports, and preprints. It features clean typography, optional color themes (green, cyan, blue, black), bilingual support (English/Chinese), and a minimal yet professional appearance. Part of the ElegantLaTeX series (ElegantPaper, ElegantBook, ElegantNote).
# Download template
git clone https://github.com/ElegantLaTeX/ElegantPaper.git
# Compile with XeLaTeX (for Chinese) or PDFLaTeX (English only)
xelatex elegantpaper-en && bibtex elegantpaper-en && xelatex elegantpaper-en
\documentclass[lang=en]{elegantpaper}
\title{Your Working Paper Title}
\author{Author Name\thanks{Affiliation, [email protected]}}
\date{\today}
\begin{document}
\maketitle
\begin{abstract}
A concise summary of your working paper.
\keywords{keyword1, keyword2, keyword3}
\end{abstract}
\section{Introduction}
Your introduction text here.
\section{Model}
Mathematical model or methodology.
\begin{theorem}\label{thm:main}
For all $x \in \mathbb{R}^n$, if $f$ is convex, then...
\end{theorem}
\begin{proof}
The proof follows from...
\end{proof}
\section{Results}
Empirical or theoretical results.
\bibliography{references}
\end{document}
% Language: en (English) or cn (Chinese)
\documentclass[lang=en]{elegantpaper}
\documentclass[lang=cn]{elegantpaper}
% Color theme
\documentclass[color=green]{elegantpaper} % Default green
\documentclass[color=cyan]{elegantpaper}
\documentclass[color=blue]{elegantpaper}
\documentclass[color=black]{elegantpaper} % Formal/print
% Math font
\documentclass[math=cm]{elegantpaper} % Computer Modern
\documentclass[math=newtx]{elegantpaper} % Times-like
% Citation style
\documentclass[cite=authoryear]{elegantpaper} % (Author, Year)
\documentclass[cite=numbers]{elegantpaper} % [1]
% Theorem family (auto-numbered, colored)
\begin{theorem}...\end{theorem}
\begin{lemma}...\end{lemma}
\begin{proposition}...\end{proposition}
\begin{corollary}...\end{corollary}
% Definition and examples
\begin{definition}...\end{definition}
\begin{example}...\end{example}
\begin{remark}...\end{remark}
% Proof
\begin{proof}...\end{proof}
\documentclass[lang=cn]{elegantpaper}
\title{基于深度学习的自然语言处理研究进展}
\author{张三\thanks{北京大学, [email protected]}}
\begin{document}
\maketitle
\begin{abstract}
本文综述了深度学习在自然语言处理中的最新进展。
\keywords{深度学习, 自然语言处理, 注意力机制}
\end{abstract}
\section{引言}
近年来...
\end{document}
| Template | Purpose | |----------|---------| | ElegantPaper | Working papers, short reports | | ElegantBook | Books, long-form documents | | ElegantNote | Lecture notes, course materials |
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".