skill detail
← registryFull-empirical-analysis-skill
brycewang-stanford/full-empirical-analysis-skill
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml +
skillrank score
47
SkillRank score blends community stars, real usage, and our eval lift; provisional until a skill is evaluated -- so popularity alone can't reach the top tier.
source
★ 2.7k
brycewang-stanford/Auto-Empirical-Research-Skills
plugins/empirical-analysis-python/skills/pipeline
open on GitHub ▸eval status
eval pending
Success delta, token delta, and trial count are not available yet. No eval number is shown until this skill has measured results.
install
$ skillrank install brycewang-stanford/full-empirical-analysis-skill$ curl -fsSL skillrank.dev | sh