Turn museum collection data into interactive insights.
Builds a museum-artifact ETL application that stores collection data in relational tables and presents interactive analytics dashboards.
When to use it
Use when building museum-artifact data pipelines, SQL analyses, or collection analytics dashboards.
Give it a museum-data application request; it builds an ETL pipeline with SQL storage and a Streamlit analytics dashboard.
The application examples are Python code; no runtime version is specified.
Requires a MySQL or TiDB database configured through the database environment variables.
This skill
MySQL/TiDB
Loads artifacts into your database (irreversible)
Harvard Art Museums API
Fetches museum artifact records