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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.

Install

npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-statspai -a claude-code

Installs to .claude/skills/aer-statspai/ · Each command fetches the skill straight from GitHub with the open skills CLI.

No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.

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