build-dashboard

To build a dashboard for AI agent evaluation metrics, use this skill to automatically analyze recent run data and generate a cohesive visualization layout. It dynamically selects chart types and maps mandatory performance indicators like Latency from your raw data density.

The best way to visualize simulation run data automatically is by analyzing metric frequency to dynamically determine layout configurations. This approach eliminates manual configuration by selecting time-series charts or statistics based on your specific data density.

You can monitor conversation quality metrics without manual dashboard setup by transforming raw run data into a professional layout automatically. The system identifies top-performing metrics and ensures mandatory performance indicators are visualized for compliance tracking.

Automated metric mapping works by analyzing metric frequency in your evaluation data to identify top-performing indicators and mandatory metrics. It ensures critical measures like Latency are always visualized, applying dynamic chart selection based on data density.

Dashboard layout generation dynamically selects time-series charts or statistics based on your data density. This ensures optimal visualization of response trends and simulation results regardless of the volume of evaluation runs analyzed.