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chart-visualization

by @antvisv
4.4(32)

智能选择最合适的图表类型来可视化数据,从26种选项中提取参数。

data-visualizationantv-g2/g6charting-librariesinteractive-dashboardsdata-storytellingGitHub
安装方式
npx skills add antvis/chart-visualization-skills --skill chart-visualization
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Before / After 效果对比

1
使用前

面对大量数据,选择合适的图表类型耗时费力,图表制作效果不佳,难以有效传达数据洞察。数据分析效率低下,决策过程受阻。

使用后

智能推荐最匹配的图表类型,自动提取关键参数,快速生成专业可视化图表。清晰展现数据趋势,提升数据分析效率,辅助精准决策。

SKILL.md

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:

{
  "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.

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统计数据

安装量2.7K
评分4.4 / 5.0
版本
更新日期2026年5月21日
对比案例1 组

用户评分

4.4(32)
5
13%
4
47%
3
34%
2
6%
1
0%

为此 Skill 评分

0.0

兼容平台

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

时间线

创建2026年3月16日
最后更新2026年5月21日