Data Visualization

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots.

This skill provides guidance for creating sophisticated, interactive data visualisations using d3.js.

Generate interactive web pages (dashboards, charts, tables, reports) and serve them via public URL. Use this skill when the user explicitly asks for data visualization, dashboards, analytics reports, comparison tables, status pages, or web-based content. Also triggers for: "draw me a chart", "make a dashboard", "show me a table", "generate a report", "visualize this data", "render this as a page", "publish a page", "claw2ui". If the response would benefit from charts, sortable tables, or rich layout, **suggest** using Claw2UI and wait for user confirmation before publishing. Chinese triggers: "做个仪表盘", "画个图表", "做个报表", "生成一个页面", "做个dashboard", "数据可视化", "做个网页", "展示数据", "做个表格", "做个图", "发布一个页面", "做个看板". Additional English triggers: "create a webpage", "show analytics", "build a status page", "make a chart", "data overview", "show me stats", "create a board", "render a page", "comparison chart", "trend analysis", "pie chart", "bar chart", "line chart", "KPI dashboard", "metrics overview", "weekly report", "monthly report".

3D 词云可视化工具 - 将对话历史或其他文本数据自动转换为炫酷的 3D 地球词云，支持多格式文件导入（JSON/MD/TXT），自动中文分词和词频统计，生成 TOP30 高频词的 3D 可视化效果

A chart & report builder designed for use by AI.