aer-statspai
bybrycewang-stanford· 161 skills
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 to install aer-statspai?
brycewang-stanford/aer-skills/aer-statspai
$npx -y skills add brycewang-stanford/aer-skills --skill aer-statspaiInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/brycewang-stanford/aer-skills" --skill "brycewang-stanford/aer-skills/aer-statspai"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/brycewang-stanford/aer-skills" that are relevant to the current task. Run `npx skills add "https://github.com/brycewang-stanford/aer-skills"` and select the relevant skills, then follow their instructions.
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