00 Full Empirical Analysis Skill Statspai
🤖 AI Summary
This AI agent skill automatically generates a complete empirical analysis pipeline in Python, including model specification (DID, RD, IV, SCM, DML, matching), written identifying assumptions, and a full output suite (Table 1, Table 2, event-study plots, robustness checks) in the style of top economics journals or epidemiology/public health.
How to Install
Claude Code:
git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git && cp Auto-Empirical-Research-Skills/skills/00-Full-empirical-analysis-skill_StatsPAI ~/.claude/skills/SKILL.md -r--- name: StatsPAI_skill description: Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness gauntlet — OR in epidemiology / public health
Details
| Category | AI/ML → ml |
| Source | brycewang-stanford/Auto-Empirical-Research-Skills |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 2.3K |
| Est. per Skill | N/A (shared across 131 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | N/A |
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Works Well With
Skills from the same repository — often designed to work together
Docs
1,052 skills is a lot. This guide routes you to the right one by what you are trying to do, then by
00.1 Full Empirical Analysis Skill Python
--- name: Full-empirical-analysis-skill description: Classical end-to-end empirical analysis workflo
00.2 Full Empirical Analysis Skill Stata
--- name: Full-empirical-analysis-skill-Stata description: Classical end-to-end empirical analysis w