pedrohcgs

pedrohcgs / claude-code-my-workflow

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A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

496
680
100% credibility
Found Feb 08, 2026 at 92 stars 5x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Summary

This repository offers a starter kit and transportable infrastructure for academics using Claude Code with LaTeX/Beamer, R, and Quarto to develop lecture slides and manage workflows through specialized agents and quality checks.

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AI-Generated Review

What is claude-code-my-workflow?

This ready-to-fork template streamlines Claude Code for academics building LaTeX/Beamer slides, R analysis scripts, and Quarto web versions. Fork the repo, paste one prompt into Claude, and it configures everything for your project—handling planning, implementation, multi-agent review, adversarial QA, quality gates, and replication protocols. Output polished lecture decks, interactive HTML pages via GitHub Pages, and reproducible R code without manual setup drudgery.

Why is it gaining traction?

It turns Claude into a "contractor" that autonomously coordinates 10 specialized agents for proofreading, pedagogy checks, R validation, and slide audits, looping through fixes until quality gates pass (80 for commits, 95 for excellence). Developers skip one-off prompts for structured workflows like lecture creation or Beamer-to-Quarto translation. The hook: zero-config start via a single prompt, plus hooks for session logging and file protection.

Who should use this?

Academics crafting PhD-level lectures in economics or stats, using LaTeX/Beamer for slides and R for simulations. PhD students replicating research or professors generating 800+ slide courses with Quarto HTML exports. Ideal for those tired of error-prone manual reviews in Beamer + R workflows.

Verdict

Fork it if you're an academic diving into Claude Code for LaTeX/Beamer + R—solid docs and real-world extraction from a production course make it practical despite 150 stars and 1.0% credibility score signaling early maturity. Customize agents for your field, but expect tweaks as it's labeled work-in-progress.

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