Academic research workflow for Claude Code: 20 skills covering causal inference (DiD, RDD, IV, synthetic control, field experiments, design triage, preregistration), paper reading, lit review, bib auditing, replication packages, LaTeX and TikZ, plus a Quarto reveal.js slide system with render-time quality gates.
README
An academic-research workflow for Claude Code: skills for reading papers, running literature reviews, auditing bibliographies, drafting preregistrations, writing referee reports and R&R responses, assembling replication packages, compiling LaTeX, iterating TikZ figures, and a Quarto reveal.js slide system with render-time quality gates. It was built for quantitative marketing and economics; most of it transfers to any empirical field.
Everything in this repository, including both example decks and their figures, is AI-generated with Claude Code, as a proof of concept for what an agent-built research workflow looks like. Generated content is the responsibility of whoever uses it: verify citations, numbers, and claims before relying on them, the same way you would verify a research assistant's first draft.
Two live example decks, rendered by these skills and published on GitHub Pages:
Both are static pages that make zero network requests at display time; the index links them with keyboard shortcuts. Their sources are in examples/, and the live copies are those sources rendered against the starter theme in slide-tooling/, exactly as they render out of the box. The starter theme carries the machinery inside one worked look (paper ground, serif display headings, a plum accent), and the theme file marks every spot where your own taste replaces it.
git clone https://github.com/ericluo04/claude-academic-workflow
cd claude-academic-workflow
cp -R skills/* ~/.claude/skills/
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