基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/franklee16/academic-research-skills --skill stata-regression命令会保持在同一行。复制前请横向滚动并检查完整内容。
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Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
Transforms raw user requests into structured, outcome-focused prompts for Claude Cowork. Use when the user wants to optimize or rewrite a prompt for Cowork, needs help structuring a multi-step task for autonomous execution, or says things like "optimize this Cowork prompt", "rewrite for Cowork", or "make this a Cowork prompt". Outputs a single code block with the rewritten prompt following the GOAL/CONTEXT LOADING/IDENTITY/SUCCESS CRITERIA/INPUTS/CONSTRAINTS/CHECKPOINT RULE structure.
This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.
| name | stata-regression |
| description | Run regression analyses in Stata with publication-ready output tables. |
| workflow_stage | analysis |
| compatibility | ["claude-code","cursor","codex","gemini-cli"] |
| author | Awesome Econ AI Community |
| version | 1.0.0 |
| tags | ["stata","regression","esttab","econometrics"] |
This skill produces reproducible regression analysis workflows in Stata, including model diagnostics and publication-ready tables using esttab or outreg2.
Follow these steps to complete the task:
Before generating any code, ask the user:
Based on the context, generate Stata code that:
regress, reghdfe, or xtreg as appropriateesttab or outreg2 with clear labelsAfter generating output:
* ============================================
* Regression Analysis with Stata
* ============================================
* Load data
use "data.dta", clear
* Summary stats
summarize y x1 x2 x3
* Main regression with clustered SEs
regress y x1 x2 x3, vce(cluster firm_id)
eststo model1
* Alternative specification with fixed effects
reghdfe y x1 x2 x3, absorb(firm_id year) vce(cluster firm_id)
eststo model2
* Export table
esttab model1 model2 using "results/regression_table.tex", replace se label
estout (for esttab)reghdfe (optional, for high-dimensional fixed effects)Install with:
ssc install estout
ssc install reghdfe