What types of statistical models can it handle?

It is designed for advanced social science methods including Two-Way Fixed Effects (TWFE), Difference-in-Differences (DiD), Instrumental Variables (IV), matching, and panel fixed effects.

Can it produce tables for journals?

Absolutely. It uses industry-standard Stata packages like estout/esttab and coefplot to create publication-quality tables and figures that can be exported to LaTeX or Excel.

Does this skill require Stata to be installed on my machine?

Yes, for full execution and logging, the skill expects Stata to be available via the command line. However, it can still generate complete .do files for you to run manually if Stata is not installed.

How does it ensure research reproducibility?

The skill enforces a standardized folder structure, uses master do-files to run entire pipelines, sets seeds for random processes, and documents every decision in methodological memos.

Stata Statistical Analyst

Name: Stata Statistical Analyst
Author: nealcaren

bynealcaren

•

Data Science & ML

Conducts rigorous, publication-quality quantitative research and statistical analysis using Stata through a systematic phased workflow.

The Stata Statistical Analyst skill transforms Claude into a specialized research assistant for sociology and the social sciences. It guides researchers through a rigorous six-phase workflow—from defining an identification strategy and cleaning data to complex modeling (DiD, IV, Panel FE) and generating publication-ready outputs. By enforcing core principles of reproducibility, robustness testing, and identification-first design, it ensures that quantitative analyses meet the high standards of top-tier academic journals while automating the repetitive aspects of Stata coding, logging, and table formatting.

Key Features

01Guided six-phase research workflow from design to final interpretation

02Built-in protocols for robustness checks and sensitivity analysis

03Automated creation of publication-ready tables using esttab and coefplot

04Specialized Stata code generation for DiD, IV, matching, and panel methods

052 GitHub stars

06Standardized project folder structure for maximum reproducibility

Use Cases

01Designing and executing a Difference-in-Differences (DiD) analysis for an academic paper

02Preparing descriptive statistics and regression tables for journal submission

03Stress-testing research findings with subgroup analyses and placebo tests

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nealcaren/sociology-analysis-agents stata-analyst

For use in Claude.ai and ChatGPT

Download Skill