StatsPAI Skill
brycewang-stanford/Auto-Empirical-Research-SkillsUse 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 style (target-trial emulation, IPTW + g-formula + TMLE triplet, Mendelian randomization, KM/AFT survival, E-value sensitivity, STROBE/TRIPOD reporting) — OR in ML causal inference style (DML, S/T/X/R/DR meta-learners, causal forest, Drag...
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/plugin marketplace add brycewang-stanford/Auto-Empirical-Research-Skills
/plugin install statspai-skill
Setup, runtime and requirements describe brycewang-stanford/Auto-Empirical-Research-Skills, the repo this skill ships in.
Also in brycewang-stanford/Auto-Empirical-Research-Skills
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