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 math-typesetting-guide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。
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.
基于 SOC 职业分类
正在显示 SKILL.md
| name | math-typesetting-guide |
| description | LaTeX math typesetting, equation formatting, and cross-referencing |
| metadata | {"openclaw":{"emoji":"∑","category":"writing","subcategory":"latex","keywords":["LaTeX math typesetting","equation formatting","mathematical notation","cross-reference"],"source":"wentor-research-plugins"}} |
Comprehensive reference for typesetting mathematical notation, equations, and theorems in LaTeX with correct formatting, numbering, and cross-referencing.
\usepackage{amsmath} % Core math environments (align, gather, etc.)
\usepackage{amssymb} % Additional math symbols
\usepackage{amsthm} % Theorem environments
\usepackage{mathtools} % Extensions to amsmath (dcases, coloneqq, etc.)
\usepackage{bm} % Bold math symbols (\bm{x})
\usepackage{bbm} % Blackboard bold for indicators (\mathbbm{1})
\usepackage{nicefrac} % Inline fractions (\nicefrac{1}{2})
\usepackage{siunitx} % SI units (\SI{9.8}{m/s^2})
Use $...$ or \(...\) for math within text:
The loss function $\mathcal{L}(\theta) = -\sum_{i=1}^{N} \log p(y_i | x_i; \theta)$
minimizes the negative log-likelihood.
Use \[...\] for centered, unnumbered equations:
\[
\nabla_\theta \mathcal{L}(\theta) = -\frac{1}{N} \sum_{i=1}^{N}
\nabla_\theta \log p(y_i | x_i; \theta)
\]
Use the equation environment for numbered equations:
\begin{equation}
E = mc^2
\label{eq:einstein}
\end{equation}
Reference with \eqref{eq:einstein} to produce "(1)" with parentheses automatically.
Use align for multi-line equations with alignment points (&):
\begin{align}
\mathcal{L}(\theta) &= \mathbb{E}_{(x,y) \sim \mathcal{D}} \left[ \ell(f_\theta(x), y) \right] \label{eq:loss} \\
&= \frac{1}{N} \sum_{i=1}^{N} \ell(f_\theta(x_i), y_i) \label{eq:empirical-loss} \\
&\approx \frac{1}{B} \sum_{j=1}^{B} \ell(f_\theta(x_j), y_j) \label{eq:minibatch-loss}
\end{align}
Use align* for unnumbered multi-line equations. Use \nonumber to suppress numbering on specific lines.
Use split inside equation for a single equation number spanning multiple lines:
\begin{equation}
\begin{split}
\text{ELBO}(\theta, \phi; x) &= \mathbb{E}_{q_\phi(z|x)} \left[ \log p_\theta(x|z) \right] \\
&\quad - D_\text{KL}\left( q_\phi(z|x) \| p(z) \right)
\end{split}
\label{eq:elbo}
\end{equation}
For piecewise functions:
\begin{equation}
\text{ReLU}(x) =
\begin{cases}
x & \text{if } x > 0 \\
0 & \text{otherwise}
\end{cases}
\label{eq:relu}
\end{equation}
| Notation | LaTeX | Category |
|---|---|---|
| Real numbers | \mathbb{R} | Sets |
| Integers | \mathbb{Z} | Sets |
| Natural numbers | \mathbb{N} | Sets |
| Expectation | \mathbb{E} | Probability |
| Probability | \mathbb{P} or \Pr | Probability |
| Normal distribution | \mathcal{N}(\mu, \sigma^2) | Distributions |
| Partial derivative | \frac{\partial f}{\partial x} | Calculus |
| Gradient | \nabla f | Calculus |
| Matrix transpose | \mathbf{A}^\top | Linear algebra |
| Matrix inverse | \mathbf{A}^{-1} | Linear algebra |
| Frobenius norm | |\mathbf{A}|_F | Linear algebra |
| L2 norm | |\mathbf{x}|_2 | Linear algebra |
| Inner product | \langle \mathbf{x}, \mathbf{y} \rangle | Linear algebra |
| Indicator function | \mathbbm{1}_{[condition]} | Functions |
| Summation | \sum_{i=1}^{N} | Operations |
| Product | \prod_{i=1}^{N} | Operations |
| Argmin/argmax | \operatorname*{argmin}_\theta | Optimization |
| KL divergence | D_\text{KL}(p | q) | Information theory |
Define custom operators for clean notation:
% In preamble
\DeclareMathOperator*{\argmin}{arg\,min}
\DeclareMathOperator*{\argmax}{arg\,max}
\DeclareMathOperator{\Tr}{Tr} % Matrix trace
\DeclareMathOperator{\diag}{diag} % Diagonal matrix
\DeclareMathOperator{\softmax}{softmax}
\DeclareMathOperator{\sigmoid}{\sigma}
\newcommand{\R}{\mathbb{R}} % Shorthand for real numbers
\newcommand{\E}{\mathbb{E}} % Shorthand for expectation
\newcommand{\norm}[1]{\left\| #1 \right\|} % Norm shorthand
\newcommand{\abs}[1]{\left| #1 \right|} % Absolute value
\newcommand{\inner}[2]{\langle #1, #2 \rangle} % Inner product
% Matrix with parentheses
\begin{equation}
\mathbf{W} = \begin{pmatrix}
w_{11} & w_{12} & \cdots & w_{1n} \\
w_{21} & w_{22} & \cdots & w_{2n} \\
\vdots & \vdots & \ddots & \vdots \\
w_{m1} & w_{m2} & \cdots & w_{mn}
\end{pmatrix}
\end{equation}
% Matrix with square brackets
\begin{equation}
\mathbf{A} = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}
\end{equation}
% In preamble: define theorem environments
\newtheorem{theorem}{Theorem}[section]
\newtheorem{lemma}[theorem]{Lemma}
\newtheorem{proposition}[theorem]{Proposition}
\newtheorem{corollary}[theorem]{Corollary}
\theoremstyle{definition}
\newtheorem{definition}[theorem]{Definition}
\theoremstyle{remark}
\newtheorem{remark}[theorem]{Remark}
% In document:
\begin{theorem}[Universal Approximation]
\label{thm:universal-approx}
For any continuous function $f: [0,1]^n \to \mathbb{R}$ and any
$\epsilon > 0$, there exists a feedforward neural network $g$ with
one hidden layer such that $\sup_{x \in [0,1]^n} |f(x) - g(x)| < \epsilon$.
\end{theorem}
\begin{proof}
The proof proceeds by construction. Consider a network with
$\sigmoid$ activation functions...
% End proof with QED symbol (automatic with amsthm)
\end{proof}
% Use cleveref for automatic reference formatting
\usepackage[capitalise,noabbrev]{cleveref}
% Then reference with:
\cref{eq:loss} % -> "Equation 1"
\cref{thm:universal-approx} % -> "Theorem 1"
\Cref{eq:loss} % -> "Equation 1" (capital, for start of sentence)
\crefrange{eq:loss}{eq:minibatch-loss} % -> "Equations 1 to 3"
% Label naming conventions:
% eq:name for equations
% thm:name for theorems
% lem:name for lemmas
% def:name for definitions
% fig:name for figures
% tab:name for tables
% sec:name for sections
\left( and \right) for auto-sizing delimiters, or explicit sizes: \big(, \Big(, \bigg(, \Bigg(\text{...} for words within math mode: $p(\text{data} | \theta)$\quad or \qquad for spacing in equations\phantom{x} for invisible spacing to align elements$$...$$ (plain TeX); use \[...\] or environments instead