Turn data into chart images by selecting a suitable format from 26 options. Visualize trends, comparisons, distributions, flows, or relationships, then receive the image URL and the complete settings used to generate it.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.generate_spreadsheet: Tabular data or pivot tables for structured data display and cross-tabulation.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.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Turn academic papers into structured reviews that explain findings, strengths, weaknesses, and research methods. Assess originality and supporting evidence, compare relevant literature, and provide specific improvement suggestions in a detailed review or brief summary.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Find Python input/output calls that may stall asynchronous backend work, then fix or guard each relevant path with runtime tests. Verify that tests fail when blocking behavior returns and pass after the fix is restored.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create or update a SOUL.md file that defines an AI partner’s behavior through a guided conversation. Clarify communication style, autonomy, honesty, and expectations, then review a concise English profile before saving it with setup_agent.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Send research and analysis tasks to a running DeerFlow instance through its HTTP API, an interface for exchanging requests. Retrieve responses, continue conversations, upload documents, and inspect available models, skills, agents, and service health.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn source code into project documentation, from a README with installation steps and examples to API references, architecture diagrams, developer guides, and changelogs. Match the scope and comment format to the project's size and programming language.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Plan market, competitor, consumer, or financial research with chapter outlines, data requirements, and chart plans. Then turn collected evidence into a structured Markdown report with comparisons, citations, and strategic implications, while clearly identifying missing data.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.