Harvard Artifacts Data Engineering Streamlit

This is a full-stack data engineering tutorial wrapped in a Claude skill. It walks through building an ETL pipeline that pulls artifact data from Harvard Art Museums API, normalizes it into MySQL tables (metadata, media, colors), then visualizes the results in a Streamlit dashboard with Plotly charts. The skill includes 20+ prebuilt analytical queries for slicing museum collections by culture, century, and department. It's honestly more of a learning project than production tooling, but that's the point. You get hands-on practice with API pagination, relational database design with foreign keys, and interactive dashboards. Good for portfolio work or if you're learning data engineering patterns with real cultural heritage data instead of yet another retail dataset.

Install to Claude Code

npx -y skills add aradotso/data-skills --skill harvard-artifacts-data-engineering-streamlit --agent claude-code