--- name: claude-academic-workflow-guide-4384c5124d60 description: "Claude Code template for LaTeX, Beamer, and R research workflows" metadata: openclaw: emoji: "📚" category: "research" subcategory: "automation" keywords: ["Claude Code", "academic workflow", "LaTeX", "Beamer", "R", "multi-agent review"] source: "https://github.com/pedrohcgs/claude-code-my-workflow" --- # Claude Code Academic Workflow Guide ## Overview A template and workflow guide for using Claude Code in academic research — managing LaTeX papers, Beamer presentations, R analysis scripts, and multi-agent peer review. Provides structured CLAUDE.md configurations, project templates, and automation patterns for common academic tasks. Designed for economists, social scientists, and quantitative researchers. ## Project Structure ``` research-project/ ├── CLAUDE.md # Claude Code instructions ├── paper/ │ ├── main.tex # Main LaTeX document │ ├── references.bib # Bibliography │ ├── sections/ # LaTeX sections │ └── figures/ # Generated figures ├── slides/ │ ├── presentation.tex # Beamer slides │ └── figures/ ├── code/ │ ├── analysis.R # Main analysis │ ├── data_clean.R # Data preparation │ └── figures.R # Figure generation ├── data/ │ ├── raw/ # Original data │ └── processed/ # Cleaned data └── output/ ├── tables/ # LaTeX tables └── figures/ # PDF/PNG figures ``` ## CLAUDE.md Configuration ```markdown # Project: [Your Paper Title] ## Instructions - This is an academic research project in economics - LaTeX compiler: pdflatex (paper) or xelatex (if CJK) - R version: 4.3+ with tidyverse, fixest, ggplot2 - Citation style: natbib, authoryear - Always compile paper after LaTeX changes - Run R scripts from project root ## Paper Conventions - Use \input{sections/intro} for section includes - Tables: booktabs package, generated from R - Figures: PDF format, width=\textwidth - Cross-refs: \label{sec:}, \label{tab:}, \label{fig:} ## R Conventions - Style: tidyverse style guide - Data: read from data/processed/ - Output: tables/ (LaTeX), figures/ (PDF) - Reproducibility: set.seed(42) for all random ops ## Build Commands - Paper: `cd paper && pdflatex main && bibtex main && pdflatex main && pdflatex main` - Slides: `cd slides && pdflatex presentation` - Analysis: `cd code && Rscript analysis.R` ``` ## LaTeX Paper Workflow ```bash # Claude Code can manage the full LaTeX workflow: # 1. Draft a section # "Write the methodology section for our diff-in-diff analysis" # 2. Generate tables from R output # "Create a LaTeX table from the regression results in output/tables/" # 3. Fix compilation errors # "The paper won't compile — fix the LaTeX errors" # 4. Update bibliography # "Add the Callaway & Sant'Anna (2021) reference" # 5. Format for submission # "Format the paper for AER submission guidelines" ``` ## Beamer Presentations ```latex % Template for academic presentations \documentclass[aspectratio=169]{beamer} \usetheme{metropolis} \title{Your Presentation Title} \subtitle{Conference/Seminar Name} \author{Author Name} \institute{University} \date{\today} \begin{document} \maketitle \begin{frame}{Motivation} \begin{itemize} \item Research question \item Why it matters \item What we do \end{itemize} \end{frame} \begin{frame}{Data} \input{figures/summary_stats_table} \end{frame} \begin{frame}{Results} \centering \includegraphics[width=0.8\textwidth]{figures/main_result.pdf} \end{frame} \end{document} ``` ## R Analysis Integration ```r # analysis.R — Main analysis script library(tidyverse) library(fixest) library(modelsummary) # Load cleaned data df <- read_csv("data/processed/analysis_data.csv") # Main regression model1 <- feols(outcome ~ treatment | year + state, data = df) model2 <- feols(outcome ~ treatment + controls | year + state, data = df, cluster = ~state) # Export table for LaTeX modelsummary( list("(1)" = model1, "(2)" = model2), output = "output/tables/main_results.tex", stars = c("*" = 0.1, "**" = 0.05, "***" = 0.01), gof_map = c("nobs", "r.squared", "FE: year", "FE: state"), ) # Export figure ggplot(df, aes(x = year, y = outcome, color = treated)) + geom_point(alpha = 0.3) + geom_smooth(method = "loess") + theme_minimal() + labs(x = "Year", y = "Outcome", color = "Treatment Group") ggsave("output/figures/treatment_trends.pdf", width = 8, height = 5) ``` ## Multi-Agent Review ```markdown ### Self-Review Workflow Use Claude Code to simulate peer review: 1. "Review this paper as a critical referee for AER" 2. "Check all mathematical derivations in section 3" 3. "Verify that all tables match the R code output" 4. "Check for consistency between text claims and results" 5. "List potential referee objections and how to address them" ``` ## Common Tasks ```markdown ### Things to ask Claude Code: - "Compile the paper and fix any errors" - "Add robustness check using propensity score matching" - "Create a Beamer slide summarizing Table 2" - "Generate event study plot from the regression results" - "Convert this Word draft to LaTeX format" - "Check all cross-references are correct" - "Format references in AEA style" ``` ## Use Cases 1. **Paper writing**: LaTeX drafting and compilation workflow 2. **Data analysis**: R script development and debugging 3. **Presentations**: Beamer slide creation from paper content 4. **Self-review**: Multi-agent review simulation 5. **Submission prep**: Format conversion for journal submission ## References - [claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) - [Metropolis Beamer Theme](https://github.com/matze/mtheme) - [modelsummary](https://modelsummary.com/) --- Source attribution: wentorai Original project: https://github.com/wentorai/research-plugins/blob/bf44b3cd617fa94c8a1b254c5d1987142ca3d631/skills/research/automation/claude-academic-workflow-guide/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2026 Wentor AI Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: wentorai Original project: https://github.com/wentorai/research-plugins/blob/bf44b3cd617fa94c8a1b254c5d1987142ca3d631/skills/research/automation/claude-academic-workflow-guide/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Education & Research Roles: Academic Writer, Data Scientist, Researcher Specialties: API Tools: Latex, R Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 1a2d80c7ff2886b41096bc3a4313772fca89f464f20ecc1a1568dbe1b84751d9