This is a complete data engineering starter for working with Harvard Art Museums' API. It walks you through the full pipeline: pagination and rate limiting on the API calls, relational schema design across three tables (metadata, media, colors), and a Streamlit dashboard with 20+ analytics queries already written. Good for learning ETL patterns with real cultural data, or if you need museum artifact analytics fast. The code is explicit about things like foreign keys and rate limits, so you can actually see how the pieces connect. Uses TiDB Cloud or MySQL for storage and Plotly for visualizations. More教学-oriented than production-hardened, but the API integration logic is solid.
npx -y skills add aradotso/data-skills --skill harvard-art-museums-etl-analytics --agent claude-codeInstalls into .claude/skills of the current project.
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sickn33/antigravity-awesome-skills