by antvis · Agent Tool · ★ 264
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Chart Visualization Skills Turning data into a visual language for better thinking. AntV , initiated by Ant Group and open-sourced starting in 2017, reimagines data visualization by embedding the theory of graphical grammar into the JavaScript language. In response to rigid chart libraries that force a trade-off between flexibility and usability, we have categorized data visualization techniques into four series: 2, 6, 7, and 8, which respectively represent statistical analysis, graph analysis, geographical analysis, and unstructured data visualization. We have expanded these capabilities across different levels, including chart libraries, R&D tools, and AI-powered intelligent visualization. Overview In the era of data-driven decision-making, efficient and accurate data visualization and analysis are paramount. AntV offers a professional suite of visualization solutions, providing a robust toolkit and a comprehensive set of skills for the entire workflow—from chart design and interactive exploration to in-depth data analysis.
| Stars | 264 |
| Forks | 17 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.938/100 |
| Open Issues | 5 |
| Last Updated | 2026-04-28 |
| Created | 2026-01-22 |
| Platforms | cli, node |
| Est. Tokens | ~100k |
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chart-visualization-skills is ⛏️ Turning data into a visual language for better thinking with Skills.. It is categorized as a Agent Tool with 264 GitHub stars.
chart-visualization-skills is primarily written in TypeScript. It covers topics such as ai-tools, antv, cli.
You can find installation instructions and usage details in the chart-visualization-skills GitHub repository at github.com/antvis/chart-visualization-skills. The project has 264 stars and 17 forks, indicating an active community.
chart-visualization-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to chart-visualization-skills on Agent Skills Hub include arbor, sidemantic, songsee. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.