Generates chart images from data by auto-selecting optimal type from 26 options (line, bar, pie, scatter, maps, etc.), extracting parameters per specs, and executing Node.js JavaScript script.
npx claudepluginhub joshuarweaver/cascade-content-creation-misc-1 --plugin bytedance-deer-flow-1This skill uses the workspace's default tool permissions.
This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.
references/generate_area_chart.mdreferences/generate_bar_chart.mdreferences/generate_boxplot_chart.mdreferences/generate_column_chart.mdreferences/generate_district_map.mdreferences/generate_dual_axes_chart.mdreferences/generate_fishbone_diagram.mdreferences/generate_flow_diagram.mdreferences/generate_funnel_chart.mdreferences/generate_histogram_chart.mdreferences/generate_line_chart.mdreferences/generate_liquid_chart.mdreferences/generate_mind_map.mdreferences/generate_network_graph.mdreferences/generate_organization_chart.mdreferences/generate_path_map.mdreferences/generate_pie_chart.mdreferences/generate_pin_map.mdreferences/generate_radar_chart.mdreferences/generate_sankey_chart.mdConducts multi-round deep research on GitHub repos via API and web searches, generating markdown reports with executive summaries, timelines, metrics, and Mermaid diagrams.
Dynamically discovers and combines enabled skills into cohesive, unexpected delightful experiences like interactive HTML or themed artifacts. Activates on 'surprise me', inspiration, or boredom cues.
Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.
To visualize data, follow these steps:
Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult references/ for detailed specs):
generate_line_chart (trends) or generate_area_chart (accumulated trends). Use generate_dual_axes_chart for two different scales.generate_bar_chart (categorical) or generate_column_chart. Use generate_histogram_chart for frequency distributions.generate_pie_chart or generate_treemap_chart (hierarchical).generate_scatter_chart (correlation), generate_sankey_chart (flow), or generate_venn_chart (overlap).generate_district_map (regions), generate_pin_map (points), or generate_path_map (routes).generate_organization_chart or generate_mind_map.generate_radar_chart: Multi-dimensional comparison.generate_funnel_chart: Process stages.generate_liquid_chart: Percentage/Progress.generate_word_cloud_chart: Text frequency.generate_boxplot_chart or generate_violin_chart: Statistical distribution.generate_network_graph: Complex node-edge relationships.generate_fishbone_diagram: Cause-effect analysis.generate_flow_diagram: Process flow.generate_spreadsheet: Tabular data or pivot tables for structured data display and cross-tabulation.Once a chart type is selected, read the corresponding file in the references/ directory (e.g., references/generate_line_chart.md) to identify the required and optional fields.
Extract the data from the user's input and map it to the expected args format.
Invoke the scripts/generate.js script with a JSON payload.
Payload Format:
{
"tool": "generate_chart_type_name",
"args": {
"data": [...],
"title": "...",
"theme": "...",
"style": { ... }
}
}
Execution Command:
node ./scripts/generate.js '<payload_json>'
The script will output the URL of the generated chart image. Return the following to the user:
args (specification) used for generation.Detailed specifications for each chart type are located in the references/ directory. Consult these files to ensure the args passed to the script match the expected schema.
This SKILL.md is provided by antvis/chart-visualization-skills.
Licensed under the MIT License.