Model Evaluation Observatory
A scientific-rigor ML model comparison workspace with muted blue-gray surfaces, tabular number alignment, confusion matrix heatmaps, and statistical significance indicators.
Design Language
A disciplined, data-dense model evaluation workspace using muted blue-gray tones, strict 8-column grid layouts, tabular number typography, and statistical visualization patterns to support rigorous ML model comparison and A/B experiment analysis.
Agent instructions (SKILL.md)(advanced)
Design Skill
This Design Skill provides a rigorous visual system for ML model evaluation and comparison. It enforces scientific publication standards: tabular number alignment, confidence interval whiskers on every metric, statistical significance indicators, and 8-column grid-locked layouts. The system is built for data-dense comparison surfaces where precision and visual alignment are critical to correct interpretation.
