This is a complete ETL reference implementation for pulling artifacts from Harvard Art Museums' API into a relational database with a Streamlit frontend. You get the full pipeline: API pagination handling, JSON to normalized SQL transformation across three tables (metadata, media, colors), and Plotly visualizations for exploring the collection. It's built for TiDB Cloud or MySQL and includes practical patterns like rate limiting and environment-based config. Good starting point if you're learning data engineering fundamentals or need to adapt a similar museum/cultural API project. The code examples in the docs are thorough enough to understand the architecture before running it.
npx -y skills add aradotso/data-skills --skill harvard-artifacts-collection-analytics-app --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills