“data visualization”

Produce a chart, graph, dashboard, or any data visualization that reads as one system — elegant, accessible, and consistent in light and dark — BRAND-NEUTRAL…

Use for creating publication-quality charts and multi-panel analysis summaries.

Apply data visualization in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation.

Create effective data visualizations with Python (matplotlib, seaborn, plotly).

Choose and create truthful, distinctive data visualizations instead of defaulting to bar charts.

Create production-quality data visualizations including charts, dashboards, and infographics.

Create charts, graphs, and visualizations from data.

Design clear, accessible data visualizations with appropriate chart selection and styling.

Use this skill when the user asks to create charts, graphs, dashboards, data visualizations, or interactive data displays.

Build interactive data visualization apps (dashboards, analysis reports, dataset explorers) with React, Recharts, and OpenAPI codegen workflow.

Choose, build and validate charts or dashboards from data.

Create effective data visualizations with Python (matplotlib, seaborn, plotly).

当用户要求"对比数据""看趋势""生成图表""画个图""可视化"或需要把数值呈现成图时使用。通过编写规范的 Chart.js JSON 调用绘图 API，生成高质量真实图表图片。禁止用 Markdown 表格或 ASCII 字符画代替真实图表。

Use when presenting data insights, creating infographics, or making complex information visual

Gráficos profesionales con Matplotlib, Seaborn, Plotly — del exploratorio al publicable.

Create analytical charts and plots from existing data.

Default skill for structured-data visualization, chart generation, and dashboard-style reporting.

Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics.

This skill should be used when the user wants to visualize data from URLs (CSV or JSON) using interactive charts.

資料視覺化圖表選擇指南與資訊架構設計。提供圖表選擇矩陣、LATCH 資訊組織原則、數字格式化規範與色彩無障礙標準。適用於「圖表選擇」、「資料視覺化」、「資訊設計」、「Chart 類型」、「數據說故事」等視覺化表達任務。強化 info-architect 的設計能力。注意：圖表 BI 工具操作不在此技能範圍內。

Comprehensive data processing, database operations, and visualization suite.

使用 Python 图表渲染工具生成柱状图或饼图，并把图片嵌入 Markdown 文档。适用于“把数据做成图表”“生成柱状图/饼图”“把统计结果可视化并写入报告”等任务。

Build circular genome visualizations using circlize (R), pyCirclize (Python), or Circos (Perl CLI) with ideogram tracks, multi-data tracks (scatter…

Plot per-group distributions of continuous data using boxplots, violins, beeswarms, quasirandom jitter, and raincloud plots with sample-size honesty…