chart-visualization: Скилл для умной визуализации данных

--- name: chart-visualization description: This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script. dependency: nodejs: ">=18.0.0" --- # 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) or `generate_area_chart` (accumulated trends). Use `generate_dual_axes_chart` for two different scales. - **Comparisons**: Use `generate_bar_chart` (categorical) or `generate_column_chart`. Use `generate_histogram_chart` for frequency distributions. - **Part-to-Whole**: Use `generate_pie_chart` or `generate_treemap_chart` (hierarchical). - **Relationships & Flow**: Use `generate_scatter_chart` (correlation), `generate_sankey_chart` (flow), or `generate_venn_chart` (overlap). - **Maps**: Use `generate_district_map` (regions), `generate_pin_map` (points), or `generate_path_map` (routes). - **Hierarchies & Trees**: Use `generate_organization_chart` or `generate_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_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. ### 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:** ```json { "tool": "generate_chart_type_name", "args": { "data": [...], "title": "...", "theme": "...", "style": { ... } } } ``` **Execution Command:** ```bash 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](https://github.com/antvis/chart-visualization-skills). Licensed under the [MIT License](https://github.com/antvis/chart-visualization-skills/blob/master/LICENSE).