Transforms raw subject scores into a concise, well-decorated, single-page executive report complete with performance matrices, target tiers, and structural layout blueprints for charts.
Checks CSV time series (metrics, sensor readings, sales by hour) for data problems before you chart or alert on them: missing intervals, duplicate or out-of-order timestamps, empty values, flatlines from stuck exporters, robust median/MAD spikes, and counter resets. Use when a dashboard looks wrong, before training a forecast, or when asking "is this data complete?". Includes a stdlib Python checker with --self-test.
Expert assistant for drafting scientific papers using analytical data (DSC, TG, infrared spectroscopy). Transforms raw data into publication-ready papers with proper structure, references, and journal formatting.