
chart-visualization
Visualize data. It intelligently selects the most suitable chart type
by bytedanceFree
Description
chart-visualization is an agent skill from the DeerFlow project that turns a dataset into a chart. It looks at the features of your data, such as the kinds of columns, their ranges and the relationship you want to show, and selects the most suitable of 26 chart types, rather than making you choose one. It then extracts the parameters the chart needs from the data, and generates the image. The skill keeps detailed specifications for each chart type in its reference files and follows a fixed workflow: chart selection, parameter extraction from the data, then image generation. It is aimed at anyone who has a table or set of numbers and wants a clear visual without learning a charting library. It works as part of an agent conversation, so you can describe what you want to see and let the skill pick the form. It passes Gen Agent Trust Hub, Socket and Snyk on skills.sh. Install it with npx skills add https://github.com/bytedance/deer-flow --skill chart-visualization.…
Highlights
- Selects the best of 26 chart types for your data
- Extracts chart parameters from the data
- Generates the chart as an image
- Keeps detailed specs for each chart type in reference files
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chart-visualization FAQ
How does it choose the chart type?
It analyzes the features of the data and the relationship you want to show, then picks the most suitable of 26 chart types.
Do I need to know a charting library?
No. You describe the data and the goal, and the skill produces the chart image.
How do I install it?
Run npx skills add https://github.com/bytedance/deer-flow --skill chart-visualization.
Is it free?
Yes. It is listed as free on skills.sh.
Which security audits does it have?
On skills.sh, Gen Agent Trust Hub, Socket and Snyk all pass.
What are the best chart-visualization alternatives?
Popular alternatives to chart-visualization include create-viz, data-visualization and slides. See all chart-visualization alternatives






