aer-statspai
Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, robustness, sensitivity, and publication-ready table export.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-statspai --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.
# AER StatsPAI ## Overview `aer-statspai` is the **implementation engine** option for this stack. Where `aer-identification` and `aer-robustness` decide *which* estimator and *which* diagnostics a referee will demand, this skill is about *running* them — through [StatsPAI](https://github.com/brycewang-stanford/StatsPAI), an open-source, agent-native Python platform that exposes 1,000+ causal-infer
What does the aer-statspai skill do?
Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, robustness, sensitivity, and publication-ready table export.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-statspai --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.