modeling-strategy-guide
Strategic statistical modeling, experimentation, and causal inference
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill modeling-strategy-guide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Modeling Strategy Guide A skill for strategic statistical modeling applied to academic research. Covers advanced modeling decisions, experimental design, causal inference, feature engineering, and the critical thinking required to move from data to defensible conclusions. ## Overview Senior data scientists distinguish themselves not by knowing more algorithms but by asking better questions, desi
What does the modeling-strategy-guide skill do?
Strategic statistical modeling, experimentation, and causal inference
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill modeling-strategy-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.