What is AutoRegMonkey?

AutoRegMonkey is an intelligent agent skill for Claude Code that automates econometric tasks by parsing user intent and coordinating specialized tools like Stata and Python.

Can I use my own data files with AutoRegMonkey?

Yes, the skill prioritizes data found in the 'data/' directory. If data is missing, it can also generate simulated data based on economic logic for testing purposes.

How does the RAG feature benefit the analysis?

The RAG system retrieves theoretical knowledge from authoritative sources, such as Bruce Hansen's econometrics textbooks, to ensure the AI's model selection and interpretations are academically rigorous.

In what language are the final reports generated?

AutoRegMonkey is specifically designed to generate professional, structured econometric analysis reports in Chinese.

Which programming languages and tools does this skill use?

It primarily utilizes Python for data manipulation and simulation, and Stata for advanced econometric modeling and statistical testing.

AutoRegMonkey Econometrics Agent

Name: AutoRegMonkey Econometrics Agent
Author: rukikotoo

byrukikotoo

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Data Science & ML

Automates complex econometric analysis by integrating LLM planning with RAG knowledge, Stata modeling, and Python data processing.

AutoRegMonkey is a sophisticated AI agent designed to streamline econometric research workflows within Claude Code. By combining natural language task parsing with an authoritative RAG knowledge base—specifically Bruce Hansen’s econometrics literature—the skill intelligently coordinates between Python for data preparation and Stata for rigorous statistical estimation. It is particularly useful for researchers and analysts who need to automate data cleaning, model selection, hypothesis testing, and the generation of structured, professional reports in Chinese, ensuring that empirical results are grounded in solid econometric theory.

Key Features

01Seamless integration of Stata for professional-grade regression and diagnostics

02Comprehensive Chinese report generation with statistical and economic interpretations

03RAG-driven theoretical guidance based on authoritative econometrics textbooks

04Automated Python workflows for data cleaning and economic simulation

056 GitHub stars

06Intelligent task parsing for natural language econometric research questions

Use Cases

01Testing economic hypotheses like the Environmental Kuznets Curve through polynomial regression

02Automating the end-to-end process from raw data processing to structured academic reporting

03Conducting causal inference studies such as the impact of education on wage levels using IV methods

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rukikotoo/autoregmonkey autoregmonkey

For use in Claude.ai and ChatGPT

Download Skill