Harvard Art Museum Etl Analytics

This is a full-stack data engineering tutorial wrapped as a skill. It walks you through building an ETL pipeline that pulls artifact data from Harvard's Art Museums API, loads it into MySQL or TiDB with a proper relational schema (metadata, media, and colors tables with foreign keys), then queries it with SQL and visualizes results in a Streamlit dashboard with Plotly charts. Good for learning real-world data pipeline patterns or if you actually need to analyze museum collections by culture, century, or color distribution. The code is thorough with pagination handling, rate limiting, and environment variable management. It's more educational scaffold than production-ready tool, but that's the point.

Install to Claude Code

npx -y skills add aradotso/data-skills --skill harvard-art-museum-etl-analytics --agent claude-code