Data Visualization
技能 已验证 活跃Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and storytelling with data. Use for: charts, graphs, dashboards, reports, presentations, infographics, data stories. Triggers: data visualization, chart, graph, data chart, bar chart, line chart, scatter plot, data viz, visualization, dashboard chart, infographic data, data presentation, chart design, plot, heatmap, pie chart alternative
To empower users to create clear, effective, and insightful data visualizations by providing best practices, chart selection guidance, and ready-to-use examples.
功能
- Chart selection guidance based on data relationship
- Best practices for axes, color, and text
- Executable examples for diverse chart types
- Storytelling techniques for data insights
- Dark mode chart generation support
使用场景
- Creating charts for dashboards and reports
- Designing infographics and data presentations
- Improving the clarity and impact of data stories
- Selecting the appropriate chart type for given data
非目标
- Generating complex, interactive dashboards
- Performing advanced statistical analysis
- Replacing dedicated BI tools for large-scale data warehousing
工作流
- Login to inference.sh CLI
- Select appropriate chart type based on data and purpose
- Execute provided Python or HTML code examples via `belt app run`
- Review generated image file for visualization
实践
- Data Visualization Design
- Chart Selection
- Color Theory in Data
- Data Storytelling
先决条件
- inference.sh CLI (`belt`) installed
- Login to inference.sh CLI
安装
npx skills add inferen-sh/skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
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