| name | streamlit |
| description | Streamlit implementation of the analyst presentation layer. Use when building or updating a Streamlit dashboard that displays pre-computed research data. This is the Streamlit-specific HOW for the tech-agnostic principles in the aops-tools analyst skill — display only, never transform. |
Streamlit — Presentation Layer (academicOps)
Streamlit is one swappable implementation of the presentation layer. The analyst
skill owns the principle — display only, never transform — which holds whichever
dashboard tool you use.
When to use
- The project has a Streamlit app (
streamlit/ directory or .py files using st.).
- You need to display pre-computed metrics, render charts, or add interactive filtering
on EXISTING columns.
Hard boundary
Streamlit may read (SELECT * FROM mart), filter on existing columns, format for
display, and render charts. It must NEVER GROUP BY/aggregate, JOIN, apply CASE
business logic, or compute derived metrics inline. If tempted to transform: STOP and
add a model in the transformation layer (see the dbt skill) instead.
This boundary is the whole of what this skill contributes. Fetch current Streamlit API
documentation at the point of use.
