What problem does it solve? Choosing the right chart type and applying sound design rules is hard, and producing polished charts requires repetitive plotting code. This Skill provides chart selection guidance, color palettes, and ready-to-run recipes for generating visualizations. ## Core Features & Use Cases - Chart Selection Guidance: Decision tables mapping data relationships (time series, comparison, distribution, correlation) to the correct chart type, with explicit anti-patterns like pie charts and 3D charts. - Ready-to-Run Recipes: Matplotlib-based commands for line charts, horizontal bar charts, heatmaps, KPI cards, and dark-mode charts executed through the inference.sh belt CLI. - Design Rules: Axes, color, typography, annotation, and storytelling conventions including colorblind-safe palettes and insight-driven titles. - Use Case: A product manager needs a monthly revenue chart for a stakeholder report; the Skill supplies a sorted, annotated bar or line chart with an insight-focused title generated as a PNG. ## Quick Start Ask the assistant to create a bar chart of monthly revenue using the data-visualization skill, and it will run the matplotlib recipe through the belt CLI to produce a PNG image.
