Turn museum collections into interactive analytics.
Builds a museum-data pipeline that collects artifacts, normalizes them into database tables, runs SQL analytics, and displays interactive dashboards.
When to use it
Use when building museum-artifact pipelines, Harvard Art Museums ETL workflows, collection analytics, or Streamlit dashboards.
Give it a museum-data pipeline request; it builds an ETL workflow, relational database analytics, and an interactive Streamlit dashboard.
The pipeline and dashboard use Python code; no runtime version is specified.
Requires streamlit for the interactive dashboard.
This skill
MySQL
Inserts and updates museum records (irreversible)
Harvard Art Museums API
Fetches museum artifact records