Turn museum collections into pipelines and dashboards.
Builds an artifact-data ETL pipeline with relational storage, SQL analysis, and an interactive dashboard.
When to use it
Use when building a Harvard Art Museums data pipeline, loading museum records into SQL, or creating artifact analytics and visualizations.
Give it a request to build a museum-data application; it guides construction of an ETL pipeline, SQL analytics, and interactive visualizations.
Uses Python for processing the API data; no runtime version is specified.
Requires streamlit for the interactive dashboard.
This skill
MySQL
Loads and updates museum records (irreversible)
Harvard Art Museums API
Fetches museum artifact records