workflowintermediateClaude Code

Claude Code Academic Workflow for LaTeX/Beamer and R

This is a ready-to-use Claude Code workflow template designed for academic work. It automates the creation of research papers, presentations (LaTeX/Beamer), and data analysis (R) using a multi-agent system that includes specialized reviewers, adversarial quality assurance, and automated quality gates.

AI SETUP PROMPT

Paste into Claude Code — it will scan your project and set everything up

# Set Up Workflow: Claude Code Academic Workflow for LaTeX/Beamer and R

## What This Is
This is a ready-to-use Claude Code workflow template designed for academic work. It automates the creation of research papers, presentations (LaTeX/Beamer), and data analysis (R) using a multi-agent system that includes specialized reviewers, adversarial quality assurance, and automated quality gates.

Source: https://github.com/pedrohcgs/claude-code-my-workflow

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)
- Whether this repository or a similar tool is already cloned or installed

Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?

## Fetch the Source

Clone or inspect the repository to understand what needs to be installed:
```bash
gh repo clone pedrohcgs/claude-code-my-workflow
```
Review the README, directory structure, and any install instructions before proceeding.

## What to Implement

This is an **AI Workflow** — an end-to-end automation pattern or integration pipeline.

- Study the workflow architecture from the source and context below
- Identify which parts I can implement locally vs. parts that need external services
- For local parts: implement them using my existing stack and API keys
- For external parts: tell me exactly what services I need and help me configure the integration code
- Wire up any required API calls using keys from my .env files

## Additional Context

- Fork the `pedrohcgs/claude-code-my-workflow` repository on GitHub to the user's account, then clone it into a local directory using the user's preferred project name.
- Initiate the Claude Code agent within the root of the newly cloned project directory.
- Execute the following prompt within the Claude Code session, first asking the user to provide their project name and a brief description: 'I am starting to work on [PROJECT NAME] in this repo. [PROJECT DESCRIPTION]. I've set up the Claude Code academic workflow. Please read the configuration files and adapt them for my project. Enter plan mode and start.'

## Reference Implementation

```
```bash
# Fork this repo on GitHub (click "Fork" on the repo page), then:
git clone https://github.com/YOUR_USERNAME/claude-code-my-workflow.git my-project
cd my-project
```
```

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it

3,272 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Fork the `pedrohcgs/claude-code-my-workflow` repository on GitHub to the user's account, then clone it into a local directory using the user's preferred project name.
02Initiate the Claude Code agent within the root of the newly cloned project directory.
03Execute the following prompt within the Claude Code session, first asking the user to provide their project name and a brief description: 'I am starting to work on [PROJECT NAME] in this repo. [PROJECT DESCRIPTION]. I've set up the Claude Code academic workflow. Please read the configuration files and adapt them for my project. Enter plan mode and start.'

CODE INTELLIGENCE

bash

```bash
# Fork this repo on GitHub (click "Fork" on the repo page), then:
git clone https://github.com/YOUR_USERNAME/claude-code-my-workflow.git my-project
cd my-project
```

FIELD OPERATIONS

Automated Research Paper to Slide Deck Generator

Extend the workflow to automatically transform a long-form research paper written in LaTeX into a concise and pedagogically sound Beamer presentation. Use the `slide-auditor` and `pedagogy-reviewer` agents to ensure the slides are well-designed and effective for teaching.

Self-Verifying Data Replication Package

Create a system that takes an R data analysis script and automatically generates a full replication package. The workflow would produce a README, document the data sources, summarize the findings, and run the `r-reviewer` and `domain-reviewer` agents to create a verification report confirming the code's quality and the results' validity.

STRATEGIC APPLICATIONS

→A research consultancy can deploy this workflow to standardize the production of client reports and presentations, using the multi-agent review system to enforce quality standards and reduce manual review time.
→University departments can provide this template to graduate students and faculty to accelerate the publication lifecycle, enforce best practices for reproducible research, and lower the barrier to creating high-quality academic documents.