chart-visualization
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.
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=bytedance-deer-flow-skills-public-chart-visualization-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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. compatibility {"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: { "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 .
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| フィールド | 説明 |
|---|---|
| format | フォーマット識別子(skill/v1) |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ(配列) |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL(本ページ) |
| exported_at | エクスポート日時(ダウンロード毎) |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定:provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明(Coze / Dify / Claude / カスタム) |