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- brycewang-stanford/Auto-Empirical-Research-Skills
- 最近来源活动
- 2026年4月3日 02:07
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安装方式
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
检查来源文件
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
菜单
默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。
决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-writing-latex命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | academic-writing-latex |
| description | LaTeX-based academic writing assistant for thesis and paper templates |
| metadata | {"openclaw":{"emoji":"📐","category":"writing","subcategory":"latex","keywords":["latex","thesis writing","paper template","academic writing","document structure","overleaf"],"source":"wentor-research-plugins"}} |
This guide covers the workflow of writing academic papers and theses using LaTeX templates. It addresses template selection, document structure, common environments, bibliography management, and compilation. Designed for researchers who need to produce professional documents conforming to specific institutional or publisher formatting requirements.
| Publisher | Template Source | Document Class |
|---|---|---|
| IEEE | ieee.org/conferences | IEEEtran |
| ACM | acm.org/publications | acmart |
| Springer | LNCS template package | llncs |
| Elsevier | elsarticle | elsarticle |
| Nature | Author submission guidelines | nature |
| APS/AIP | REVTeX | revtex4-2 |
% Chinese university thesis examples
\documentclass{thuthesis} % Tsinghua University
\documentclass{sjtuthesis} % Shanghai Jiao Tong University
\documentclass{ustcthesis} % USTC
\documentclass{xjtuthesis} % Xi'an Jiao Tong University
% International thesis
\documentclass{Dissertate} % Harvard-style
\documentclass[phd]{novathesis} % Universidade Nova de Lisboa
\documentclass[conference]{IEEEtran}
% Preamble — packages
\usepackage{amsmath,amssymb}
\usepackage{graphicx}
\usepackage{booktabs}
\usepackage{hyperref}
\usepackage[utf8]{inputenc}
\begin{document}
\title{Your Paper Title}
\author{
\IEEEauthorblockN{First Author}
\IEEEauthorblockA{Affiliation\\Email: first@example.com}
\and
\IEEEauthorblockN{Second Author}
\IEEEauthorblockA{Affiliation\\Email: second@example.com}
}
\maketitle
\begin{abstract}
Your abstract here (150-250 words).
\end{abstract}
\begin{IEEEkeywords}
keyword1, keyword2, keyword3
\end{IEEEkeywords}
\section{Introduction}
\label{sec:intro}
Your introduction text...
\section{Related Work}
\section{Methodology}
\section{Experiments}
\section{Results}
\section{Conclusion}
\bibliographystyle{IEEEtran}
\bibliography{references}
\end{document}
\documentclass[12pt,a4paper]{report}
\begin{document}
\frontmatter
\include{chapters/titlepage}
\include{chapters/abstract}
\include{chapters/acknowledgments}
\tableofcontents
\listoffigures
\listoftables
\mainmatter
\include{chapters/introduction}
\include{chapters/literature-review}
\include{chapters/methodology}
\include{chapters/results}
\include{chapters/discussion}
\include{chapters/conclusion}
\appendix
\include{chapters/appendix-a}
\backmatter
\bibliographystyle{apalike}
\bibliography{references}
\end{document}
\begin{figure}[htbp]
\centering
\includegraphics[width=0.8\columnwidth]{figures/architecture.pdf}
\caption{System architecture overview. The input module processes
raw data before passing to the transformer encoder.}
\label{fig:architecture}
\end{figure}
% Two subfigures side by side
\usepackage{subcaption}
\begin{figure}[htbp]
\centering
\begin{subfigure}[b]{0.48\columnwidth}
\includegraphics[width=\textwidth]{fig_a.pdf}
\caption{Training loss}
\label{fig:loss}
\end{subfigure}
\hfill
\begin{subfigure}[b]{0.48\columnwidth}
\includegraphics[width=\textwidth]{fig_b.pdf}
\caption{Validation accuracy}
\label{fig:acc}
\end{subfigure}
\caption{Training dynamics over 100 epochs.}
\label{fig:training}
\end{figure}
\begin{table}[htbp]
\centering
\caption{Comparison of methods on benchmark dataset.}
\label{tab:results}
\begin{tabular}{lccc}
\toprule
Method & Precision & Recall & F1 \\
\midrule
Baseline & 0.72 & 0.68 & 0.70 \\
Method A & 0.81 & 0.76 & 0.78 \\
\textbf{Ours} & \textbf{0.89} & \textbf{0.85} & \textbf{0.87} \\
\bottomrule
\end{tabular}
\end{table}
% Inline math
The loss function $\mathcal{L}(\theta) = -\sum_{i=1}^{N} y_i \log \hat{y}_i$
minimizes cross-entropy.
% Display equation (numbered)
\begin{equation}
\text{Attention}(Q, K, V) = \text{softmax}\left(\frac{QK^T}{\sqrt{d_k}}\right)V
\label{eq:attention}
\end{equation}
% Aligned equations
\begin{align}
\nabla_\theta J(\theta) &= \mathbb{E}_{\tau \sim \pi_\theta}
\left[\sum_{t=0}^{T} \nabla_\theta \log \pi_\theta(a_t|s_t) A_t\right]
\label{eq:policy_grad} \\
A_t &= Q(s_t, a_t) - V(s_t) \label{eq:advantage}
\end{align}
% Refer to equations
As shown in Equation~\eqref{eq:attention}, the attention mechanism...
\usepackage{algorithm}
\usepackage{algorithmic}
\begin{algorithm}[htbp]
\caption{Training procedure}
\label{alg:training}
\begin{algorithmic}[1]
\REQUIRE Dataset $\mathcal{D}$, learning rate $\eta$, epochs $E$
\ENSURE Trained model parameters $\theta^*$
\STATE Initialize $\theta$ randomly
\FOR{$e = 1$ to $E$}
\FOR{each batch $B \in \mathcal{D}$}
\STATE Compute loss $\mathcal{L}(B; \theta)$
\STATE $\theta \leftarrow \theta - \eta \nabla_\theta \mathcal{L}$
\ENDFOR
\ENDFOR
\RETURN $\theta$
\end{algorithmic}
\end{algorithm}
# Compilation sequence (4 steps)
pdflatex paper.tex # 1. First pass (generates .aux)
bibtex paper # 2. Process bibliography
pdflatex paper.tex # 3. Second pass (resolves refs)
pdflatex paper.tex # 4. Final pass (fixes page numbers)
# Or use latexmk for automatic compilation
latexmk -pdf paper.tex
@article{vaswani2017attention,
title={Attention is all you need},
author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and ...},
journal={Advances in neural information processing systems},
volume={30},
year={2017}
}
@inproceedings{devlin2019bert,
title={BERT: Pre-training of deep bidirectional transformers},
author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and ...},
booktitle={Proceedings of NAACL-HLT 2019},
pages={4171--4186},
year={2019}
}
# XeLaTeX (for Unicode/CJK support)
xelatex paper.tex && bibtex paper && xelatex paper.tex && xelatex paper.tex
# LuaLaTeX (alternative Unicode engine)
lualatex paper.tex
# Automated with latexmk
latexmk -xelatex paper.tex # XeLaTeX
latexmk -pdf paper.tex # pdfLaTeX
latexmk -c paper.tex # Clean auxiliary files