Visualization

This one handles the full workflow for turning data into charts: it generates or reuses SQL (calling the sql-expert skill if needed), validates the query, then outputs a chart-spec JSON block that the client renders automatically. It picks chart types based on explicit user requests first (line, bar, pie, timeseries), then falls back to analyzing the SQL structure. The mandatory validation step with retry logic is solid, it prevents broken queries from reaching the UI. One thing to watch: it's opinionated about legend placement and values arrays, which keeps charts consistent but might feel rigid if you want custom layouts. Works well when you need reliable visualizations without manual chart configuration.