pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook
$ npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill estimate --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/estimateContext preview
The summary Claude sees to decide when to auto-load this skill.
Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook
name: estimate description: "Run a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbook" argument-hint: "<estimation specification or task>" disable-model-invocation: true
This command routes to `/workflows:work` with estimation pipeline context.
Before starting, load the `empirical-playbook` skill and its `references/estimation-pipeline.md` for the phased estimation workflow (data validation → identification → estimation → standard errors → robustness → results).
Now run `/workflows:work` with the estimation pipeline framing. Follow the phase gates in `estimation-pipeline.md` — do not proceed to the next phase until the current phase's gate conditions are met.
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud /…
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid + did_imputation +…
Classical end-to-end empirical analysis workflow in the modern tidyverse + econometrics R ecosystem — dplyr + tidyr + haven + fixest + sandwich + lmtest +…
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want…