MaxGhenis

AI Economics Lecture — AI skill for Claude Code

AI community

Interactive presentation on using AI for economics research, built with Claude Code and TDD.

How to install AI Economics Lecture

This entry records only its repository, not the path inside it, so there is no exact command to give. Open MaxGhenis/ai-economics-lecture and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What AI Economics Lecture does

Interactive presentation on using AI for economics research, built with Claude Code and TDD.

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README

AI for Economics Research: From Theory to Practice

Interactive presentation for University of South Carolina Economics PhD class on using AI (particularly Claude Code) for economics research.

🎯 Key Topics

Test-Driven Development (TDD) with Claude Code
PolicyEngine's AI integration journey
"What Can LLMs Teach Us About the ETI?" research
Turn Everything Into Software philosophy
100% Claude Code challenge

🚀 Quick Start

# Install dependencies
npm install

# Run tests (TDD approach!)
npm test

# Start the presentation
npm run dev

# Build for production
npm run build

📝 Built with TDD

This presentation was built using Test-Driven Development with Claude Code:

First, we wrote tests for the presentation structure
Then implemented the slides to make tests pass
Continuously validated with npm test

🔗 Links

PolicyEngine: policyengine.org
LLM-ETI Paper: github.com/MaxGhenis/llm-eti
DC Office Comparison: policyengine.github.io/dc-office-comparison

👤 Author

**Max Ghenis**

🏗️ Meta

This presentation itself demonstrates the power of Claude Code - it was built entirely using Claude Code with TDD!# Force rebuild Thu Aug 21 11:27:11 EDT 2025