القائمة
Beautiful LaTeX template for working papers and technical reports
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills --skill elegant-paper-templateيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
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.
中英双语学术降 AIGC / bilingual academic de-AIGC skill. Removes AI-generated writing signatures from empirical papers in economics, management, and the social sciences — in both English and Chinese. Covers Turnitin AI, GPTZero, Originality.ai on the English side and 知网 AMLC, 万方, 维普 on the Chinese side. Uses a six-step loop (intake → audit → claim-evidence check → differentiated rewrite → five-dimension self-score → cold-reader recheck) with two pattern libraries (22 English + 17 Chinese patterns), section-by-section strategies for empirical papers, and hard protections that keep every number, coefficient, and citation intact.
Use when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | elegant-paper-template |
| description | Beautiful LaTeX template for working papers and technical reports |
| metadata | {"openclaw":{"emoji":"✨","category":"writing","subcategory":"templates","keywords":["ElegantPaper","LaTeX template","working paper","technical report","elegant design","academic paper"],"source":"https://github.com/ElegantLaTeX/ElegantPaper"}} |
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@university.edu}}
\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, zhangsan@pku.edu.cn}}
\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 |