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Full-empirical-analysis-skill
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By brycewang-stanford/Auto-Empirical-Research-Skills (GitHub) · research · 5,016 stars · scanned at commit 8684584
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and e…
Works with any agent that supports SKILL.md skills.
What this skill can do
Changes files outside its own folder
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Found in 2 places.
Downloads and installs other software
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Found in 20 places.
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- skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 204
pip install pandas numpy scipy matplotlib seaborn \ - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 210
pip install missingno # missing-data visualization - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 211
pip install pyreadstat # Stata .dta / SPSS .sav import - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 212
pip install arch # GARCH, unit-root tests, HAC - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 213
pip install pingouin # clean stats tests wrapper - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 214
pip install pysynth # synthetic control (N=1 treated) - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 733
from binsreg import binsreg # pip install binsreg - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1476
pip install zepid # IPTW, g-formula, TMLE, AIPW, E-value - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1477
pip install lifelines # KM, Cox, AFT, RMST - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1478
pip install scikit-survival # alternative survival stack (scaling-friendly) - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1480
pip install pymr # if available - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1482
pip install rpy2 # then import TwoSampleMR / MendelianRandomization via rpy2 - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1653
pip install econml doubleml causalml dowhy # core estimators - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1654
pip install causal-learn cdt # causal discovery (PC / NOTEARS / GES) - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1655
pip install mapie # conformal prediction (incl. causal) - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1656
pip install fairlearn # fairness audit - skills/00.1-Full-empirical-analysis-skill_Python/SKILL.md, line 1657
pip install policytree-py # discrete policy learning (optional; also via econml.policy)
Runs commands on your computer
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Found in 3 places.
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Other copies in this repository
brycewang-stanford/Auto-Empirical-Research-Skills has 1 more folder with a skill named Full-empirical-analysis-skill. This page shows the lowest-scoring copy.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'full-empirical-analysis-skill' ] || [ -L ~/.agents/skills/'full-empirical-analysis-skill' ]; then echo 'A skill folder named full-empirical-analysis-skill already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills' "$d" && git -C "$d" checkout --quiet '8684584e7d1127940f018157d2c579974fae8f79' -- 'skills/00.1-Full-empirical-analysis-skill_Python' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/00.1-Full-empirical-analysis-skill_Python' ~/.agents/skills/'full-empirical-analysis-skill' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'full-empirical-analysis-skill' ~/.claude/skills/'full-empirical-analysis-skill' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
The badge for brycewang-stanford/Auto-Empirical-Research-Skills shows the score of its lowest-scoring skill.

[](https://zalavijaysinh.github.io/skilltrust/repos/brycewang-stanford/Auto-Empirical-Research-Skills/)
Score history
| Date | Version | Score |
|---|
| 2026-11-10 | 8684584 | 70 |
| 2026-11-08 | bfa0a6e | 70 |
| 2026-11-07 | bfa0a6e | 70 |