Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/bytedance/deer-flow --skill chart-visualizationAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
Chart Visualization Skill
This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.
Workflow
To visualize data, follow these steps:
1. Intelligent Chart Selection
Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult references/ for detailed specs):
- Time Series: Use
generate_line_chart(trends) orgenerate_area_chart(accumulated trends). Usegenerate_dual_axes_chartfor two different scales. - Comparisons: Use
generate_bar_chart(categorical) orgenerate_column_chart. Usegenerate_histogram_chartfor frequency distributions. - Part-to-Whole: Use
generate_pie_chartorgenerate_treemap_chart(hierarchical). - Relationships & Flow: Use
generate_scatter_chart(correlation),generate_sankey_chart(flow), orgenerate_venn_chart(overlap). - Maps: Use
generate_district_map(regions),generate_pin_map(points), orgenerate_path_map(routes). - Hierarchies & Trees: Use
generate_organization_chartorgenerate_mind_map. - Specialized:
generate_radar_chart: Multi-dimensional comparison.generate_funnel_chart: Process stages.generate_liquid_chart: Percentage/Progress.generate_word_cloud_chart: Text frequency.generate_boxplot_chartorgenerate_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.
2. Parameter Extraction
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.
3. Chart Generation
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>'4. Result Return
The script will output the URL of the generated chart image. Return the following to the user:
- The image URL.
- The complete
args(specification) used for generation.
Reference Material
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.
License
This SKILL.md is provided by antvis/chart-visualization-skills. Licensed under the MIT License.


