pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Full autonomous research workflow — brainstorm, plan, implement, review, and document
Claude Code
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lfg --agent claude-code
Codex
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lfg -a codex -y
Cursor
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lfg -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lfg -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lfg -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lfg -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill lfg -a windsurf -y
name: lfg description: Full autonomous research workflow — brainstorm, plan, implement, review, and document argument-hint: "[research task, estimation problem, or methodological improvement]" disable-model-invocation: true
Run these 5 slash commands in order. Do not do anything else. Do not stop between steps — complete every step through to the end.
1. `/workflows:brainstorm $ARGUMENTS` 2. `/workflows:plan` 3. `/workflows:work` 4. `/workflows:review` 5. `/workflows:compound`
**Hard gates:**
Start with step 1 now.
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Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics…
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy +…
Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid +…
Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven +…
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