Auto Empirical Research Skills
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows, or an end-to-end run from raw data all the way to a finished Word (.docx) manuscript, without reading the entire repository at once.
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill auto-empirical-research-skillsgit clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git /tmp/Auto-Empirical-Research-Skills
mkdir -p ~/.claude/skills
cp -r /tmp/Auto-Empirical-Research-Skills/. ~/.claude/skills/auto-empirical-research-skillsPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Auto-Empirical Research Skills Router Use this root skill when the full AERS repository has been installed as a single skill folder. Treat it as a router and catalog, not as a request to load every vendored `SKILL.md`. The catalog holds **1,151 skills across 78 vendored collections**. Never read them all — route to one, then load only that skill's `SKILL.md`. ## Workflow 1. Classify the user's empirical-research task by **stage**, then load the single best-matching skill: - Full pipeline or orchestration: start with `skills/69-Paper-WorkFlow/` or the `skills/00*` flagship analysis skills — `skills/00-Full-empirical-analysis-skill_StatsPAI/` (StatsPAI), `skills/00.1-Full-empirical-analysis-skill_Python/` (Python), `skills/00.2-Full-empirical-analysis-skill_Stata/` (Stata), `skills/00.3-Full-empirical-analysis-skill_R/` (R). Note the StatsPAI flagship has no dot in its prefix, so a `skills/00.*` glob misses it. - Causal inference and econometrics: pick by method from the table below, or search `catalog/skills.json` / `docs/TAXONOMY.md`. - AER or top economics journal work: start with `skills/50-brycewang-aer-skills/`. - Replication, citation, or peer review: use `docs/SKILL_CATALOG.md` and `docs/GOLDEN_WORKFLOWS.md` to choose a focused skill. - Academic de-AIGC (English or Chinese) or academic rewriting: start with `skills/48-de-AIGC-skills/` or nearby writing skills in the catalog.
Details
- Skill name
auto-empirical-research-skills- Repo updated
- 30 October 2026
FAQ
What does the Auto Empirical Research Skills skill do?
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows, or an end-to-end run from raw data all the way to a finished Word (.docx) manuscript, without reading the entire repository at once.
How do I install the Auto Empirical Research Skills skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill auto-empirical-research-skills. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Auto Empirical Research Skills popular?
It lives in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,845 GitHub stars and 563 forks.
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