What problem does it solve? Turning raw data into visual charts normally requires charting libraries, rendering environments, and manual configuration. This Skill converts user-provided data into chart images by calling the AntV gpt-vis API, returning a ready-to-use image URL. ## Core Features & Use Cases - Wide chart type coverage: Supports over 20 chart types including line, bar, column, pie, scatter, radar, sankey, treemap, funnel, word-cloud, network-graph, flow-diagram, mind-map, and spreadsheet tables. - Chart selection guidance: Provides a decision guide mapping data characteristics (time series, comparison, proportion, hierarchy, flow) to the most appropriate chart type. - Customizable output: Supports themes (default, academy, dark), dimensions, titles, axis labels, and hand-drawn texture styles. - Use Case: A user provides monthly workout volume data and asks for a trend chart; the Skill selects a line chart, posts the JSON payload to the API, and returns a Markdown image of the rendered chart. ## Quick Start Generate a line chart from my monthly training data showing the trend over the past year.
