research-assistant

Actively maintained. A summary of how I use Claude Code for academic work — slides, papers, data analysis, and more — packaged so you can fork it for your own research. See CHANGELOG.md for the latest changes.

Live site: psantanna.com/claude-code-my-workflow

A ready-to-fork foundation for AI-assisted academic work. You describe what you want — lecture slides, a research paper, a data analysis, a replication package — and Claude plans the approach, runs specialized agents, fixes issues, verifies quality, and presents results. Like a contractor who handles the entire job. Extracted from a production PhD course and extended by a growing community.

Quick Start (5–10 minutes, plus 30 min for first-time installs)

Before you start: Claude Code + git are the minimum. To run the included HelloWorld demos end-to-end you also need XeLaTeX (Beamer sample) and Quarto (Quarto sample). R and the GitHub CLI are recommended. Python 3 is used by a few internal scripts (check-palette-sync.py, check-tikz-prevention.py) and is pre-installed on macOS/Linux. Full list in Prerequisites below. Fastest path: clone first, then run ./scripts/validate-setup.sh — it reports exactly what's missing with install links.