Skills Plugins MCP Prompt Model 博客 我的中心
Content Creation #javascript #data #image #ai

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 Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=bytedance-deer-flow-skills-public-chart-visualization-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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 .
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。