chart-visualization by bytedance/deer-flow
npx skills add https://github.com/bytedance/deer-flow --skill chart-visualization本技能提供了一套完整的工作流程,用于将数据转化为可视化图表。它负责图表选择、参数提取和图像生成。
要可视化数据,请遵循以下步骤:
分析用户的数据特征,以确定最合适的图表类型。请遵循以下指南(并查阅 references/ 目录下的详细规范):
generate_line_chart(趋势)或 generate_area_chart(累积趋势)。对于两个不同量纲的数据,使用 generate_dual_axes_chart。generate_bar_chart(分类数据)或 generate_column_chart。对于频率分布,使用 generate_histogram_chart。广告位招租
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generate_pie_chartgenerate_treemap_chartgenerate_scatter_chart(相关性)、generate_sankey_chart(流向)或 generate_venn_chart(重叠)。generate_district_map(区域)、generate_pin_map(点)或 generate_path_map(路径)。generate_organization_chart 或 generate_mind_map。generate_radar_chart:多维度比较。generate_funnel_chart:流程阶段。generate_liquid_chart:百分比/进度。generate_word_cloud_chart:文本频率。generate_boxplot_chart 或 generate_violin_chart:统计分布。generate_network_graph:复杂的节点-边关系。generate_fishbone_diagram:因果分析。generate_flow_diagram:流程图。generate_spreadsheet:表格数据或数据透视表,用于结构化数据显示和交叉分析。选定图表类型后,读取 references/ 目录下对应的文件(例如 references/generate_line_chart.md),以识别必需和可选的字段。从用户输入中提取数据,并将其映射到预期的 args 格式。
使用 JSON 负载调用 scripts/generate.js 脚本。
负载格式:
{
"tool": "generate_chart_type_name",
"args": {
"data": [...],
"title": "...",
"theme": "...",
"style": { ... }
}
}
执行命令:
node ./scripts/generate.js '<payload_json>'
脚本将输出生成的图表图像的 URL。向用户返回以下内容:
args(规范)。每种图表类型的详细规范位于 references/ 目录中。查阅这些文件以确保传递给脚本的 args 符合预期的模式。
此 SKILL.md 由 antvis/chart-visualization-skills 提供。遵循 MIT 许可证。
每周安装量
158
代码仓库
GitHub 星标数
27.8K
首次出现
2026年2月17日
安全审计
安装于
gemini-cli154
github-copilot154
opencode154
amp153
codex153
kimi-cli153
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.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.
Weekly Installs
158
Repository
GitHub Stars
27.8K
First Seen
Feb 17, 2026
Security Audits
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Installed on
gemini-cli154
github-copilot154
opencode154
amp153
codex153
kimi-cli153
Python PDF处理教程:合并拆分、提取文本表格、创建PDF文件
54,200 周安装
generate_spreadsheet: Tabular data or pivot tables for structured data display and cross-tabulation.