chart-visualization 精选
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.
安装方式
cp -r skills/public/chart-visualization ~/.claude/skills/chart-visualization把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/
https://raw.githubusercontent.com/bytedance/deer-flow/b346b17fce89f31dfd5419d9c87b3700ca1256fe/skills/public/chart-visualization/SKILL.md下载后另存为 ~/.claude/skills/chart-visualization/SKILL.md。链接锁定采集时的 commit,内容与本站展示一致。
整仓一次性获取:git clone --depth 1 https://github.com/bytedance/deer-flow.git
依赖与权限
- 无需 API Key
- 需要联网访问外部服务
- 依赖外部命令:
node - 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
SKILL.md 正文
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.
质量与来源
- 所属仓库
- bytedance/deer-flow
- 仓库星标
- 8.4 万
- 最近更新
- 今天
- 采集时间
- 今天
- commit
- b346b17fce89
- 内容指纹
- sha256:eb44160e5a51bc0
- 文件路径
- skills/public/chart-visualization/SKILL.md