brycewang-stanford/auto-empirical-research-skills

Full-empirical-analysis-skill-R

First seen Apr 28, 2026

Installation

$ npx skills add https://github.com/brycewang-stanford/auto-empirical-research-skills

Summary

  • / kableExtra / gt for publication tables, ggplot2 / iplot / binsreg for figures.
  • Companion skills : this is the R sibling of 00-StatsPAI_skill (Python DSL), 00.1-Full-empirical-analysis-skill (explicit Python), and 00.2-Full-empirical-analysis-skill_Stata (Stata .do ).
  • All four implement the same 8 steps, in their respective ecosystems.
  • Philosophy Tidyverse + fixest, the modern R idioms. feols(... | unit + year, cluster = ~unit) , not Frankenstein-y lm(y ~ x + factor(unit) + factor(year)) .
  • Reproducible scripts / Quarto.
  • Every example below is paste-runnable. renv for package locking; Quarto ( .qmd ) for combined narrative + code + tables/figures. 8 steps, first-class.
  • R users historically over-invest in Step 5; this skill treats Steps 1–4 and 6–8 as core.
  • Rich outputs.
  • Every step yields at least one table or figure — tex/docx/png/pdf.
  • Progressive disclosure.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 3.7K
License LICENSE
Default branch main
Open issues 0
Status Active

History

  1. First seen on skills.sh
  2. First recorded snapshot · 54 installs