Turn museum collection data into interactive insights.
Builds an artifact-data pipeline that gives users SQL collection analytics and an interactive dashboard.
When to use it
Use when asked to build a Harvard Art Museums data pipeline, an artifact ETL workflow, or a collection analytics dashboard.
Give it a museum collection analytics request; it builds an ETL project with SQL storage, analytical queries, and a Streamlit dashboard.
Uses Python for the ETL pipeline and dashboard; no runtime version is specified.
Requires a reachable MySQL or TiDB Cloud database configured with a host, port, username, password, and database name.
This skill
MySQL/TiDB Cloud
Loads artifacts into your database
Harvard Art Museums API
Fetches museum artifact records