skills/09-meleantonio-awesome-econ-ai-stuff/_skills/communication/beamer-presentation/SKILL.md
Create academic presentations in Beamer with professional themes
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research beamer-presentationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill helps economists create professional academic presentations using LaTeX Beamer. It provides templates for conference talks, job market presentations, and seminar presentations with proper structure and clean aesthetics.
Ask the user:
| Duration | Structure | |----------|-----------| | 15-20 min | Motivation (2) → Question (1) → Method (2) → Results (3-4) → Conclusion (1) | | 45-60 min | Add literature review, more results detail, robustness | | 90 min | Full seminar with theoretical framework, extensive empirics |
\pause or <+-> for complex slides\documentclass[aspectratio=169, 11pt]{beamer}
% ============================================
% THEME AND APPEARANCE
% ============================================
% Clean minimal theme
\usetheme{metropolis}
\usecolortheme{default}
% Or for a more traditional look:
% \usetheme{Madrid}
% \usecolortheme{whale}
% Custom colors
\definecolor{darkblue}{RGB}{0, 51, 102}
\definecolor{lightgray}{RGB}{245, 245, 245}
\setbeamercolor{frametitle}{bg=darkblue, fg=white}
\setbeamercolor{title}{fg=darkblue}
\setbeamercolor{structure}{fg=darkblue}
% Remove navigation symbols
\setbeamertemplate{navigation symbols}{}
% Frame numbers
\setbeamertemplate{footline}[frame number]
% ============================================
% PACKAGES
% ============================================
\usepackage{graphicx}
\usepackage{booktabs}
\usepackage{tikz}
\usepackage{pgfplots}
\pgfplotsset{compat=1.17}
% ============================================
% TITLE PAGE
% ============================================
\title{The Effect of X on Y: \\Evidence from Z}
\subtitle{Short and Descriptive}
\author{Your Name}
\institute{Your University}
\date{Conference Name \\ Month Year}
\begin{document}
% Title slide
\begin{frame}[plain]
\titlepage
\end{frame}
% ============================================
% MOTIVATION (2-3 slides)
% ============================================
\begin{frame}{Motivation: Why This Matters}
\begin{itemize}
\item<1-> \textbf{Big picture:} [One sentence on broad relevance]
\item<2-> \textbf{Specific puzzle:} [What we don't know]
\item<3-> \textbf{Stakes:} [Why should we care?]
\end{itemize}
\vspace{1em}
\only<4>{
\begin{block}{Key Statistic}
\Large \textbf{X\%} of [outcome] can be explained by [factor]
\end{block}
}
\end{frame}
\begin{frame}{What We Know (and Don't Know)}
\textbf{Previous literature:}
\begin{itemize}
\item Author et al. (2020): Finding 1
\item Other Author (2019): Finding 2
\end{itemize}
\vspace{1em}
\textbf{Gap we fill:}
\begin{itemize}
\item[\textcolor{red}{?}] [Open question our paper addresses]
\end{itemize}
\end{frame}
% ============================================
% RESEARCH QUESTION (1 slide)
% ============================================
\begin{frame}{This Paper}
\begin{center}
\Large
\textbf{Research Question:} \\[1em]
Does [X] cause [Y]? \\[2em]
\end{center}
\textbf{Preview of findings:}
\begin{itemize}
\item Main result in plain language
\item Key magnitude: [Quantitative summary]
\end{itemize}
\end{frame}
% ============================================
% EMPIRICAL STRATEGY (2-3 slides)
% ============================================
\begin{frame}{Data}
\textbf{Sources:}
\begin{itemize}
\item Dataset 1: [Description, years, N]
\item Dataset 2: [Description, matching method]
\end{itemize}
\vspace{1em}
\textbf{Sample:}
\begin{itemize}
\item Unit of observation: [What is an observation?]
\item Final sample: [N] observations, [Time period]
\end{itemize}
\end{frame}
\begin{frame}{Identification Strategy}
\textbf{Challenge:} [Endogeneity concern in one sentence]
\vspace{1em}
\textbf{Solution:} We exploit [natural experiment / instrument / RDD]
\vspace{1em}
\textbf{Key assumption:} [Identification assumption in plain language]
\begin{equation*}
Y_{it} = \alpha + \beta \cdot \text{Treatment}_{it} + \gamma X_{it} + \mu_i + \delta_t + \varepsilon_{it}
\end{equation*}
\end{frame}
% ============================================
% RESULTS (3-5 slides)
% ============================================
\begin{frame}{Main Result}
\begin{center}
\includegraphics[width=0.8\textwidth]{figures/main_result.pdf}
\end{center}
\vspace{0.5em}
\textbf{Takeaway:} [One sentence interpretation]
\end{frame}
\begin{frame}{Main Result: Regression Table}
\begin{table}
\centering
\small
\begin{tabular}{lccc}
\toprule
& (1) & (2) & (3) \\
& OLS & + Controls & + FE \\
\midrule
Treatment & 0.052*** & 0.048*** & 0.041** \\
& (0.012) & (0.011) & (0.015) \\
\midrule
Controls & No & Yes & Yes \\
Fixed Effects & No & No & Yes \\
N & 10,000 & 9,850 & 9,850 \\
\bottomrule
\end{tabular}
\end{table}
\textbf{Economic magnitude:} 1 SD increase in X $\rightarrow$ Y\% increase in outcome
\end{frame}
\begin{frame}{Robustness Checks}
\begin{itemize}
\item[\checkmark] Alternative specifications
\item[\checkmark] Placebo tests
\item[\checkmark] Different sample cuts
\item[\checkmark] [Other relevant checks]
\end{itemize}
\vspace{1em}
$\rightarrow$ Results robust across specifications
\end{frame}
% ============================================
% CONCLUSION (1 slide)
% ============================================
\begin{frame}{Takeaways}
\begin{enumerate}
\item \textbf{Finding 1:} [Main result]
\item \textbf{Finding 2:} [Secondary result]
\item \textbf{Implication:} [Policy/theory takeaway]
\end{enumerate}
\vspace{2em}
\begin{center}
\Large Thank you! \\[0.5em]
\normalsize [email protected]
\end{center}
\end{frame}
% ============================================
% APPENDIX
% ============================================
\appendix
\begin{frame}[noframenumbering]{Appendix: Additional Results}
[Backup slides for Q\&A]
\end{frame}
\end{document}
| Audience | Theme | Notes |
|----------|-------|-------|
| Academic | metropolis | Clean, modern, minimal |
| Conference | Madrid | Traditional, professional |
| Job market | default with custom colors | Safe, customizable |
| Policy | CambridgeUS | Authoritative look |
\pausetools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
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.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.