These skills help an agent turn data into a visual that answers a question. Members cover dashboards, scientific figures, Infographic and diagram tools, AntV maps, HTML artifacts, and slide charts.
18 skills
Create publication-style Matplotlib charts with an AI agent, using scientific plotting conventions, reference scripts and print or vector export guidance.
Create mathematical explanations and 3D animations in Python, inspect their layout and timing, and export MP4 videos with editable scene source.
Create an HTML dashboard with KPI cards, charts and progress indicators.
Create animated and explorable diagrams from compact JSON specifications, with scripted layout, styling, motion, and export workflows.
Turn systems, code changes and plans into visual HTML pages, diagrams and slide decks.
Ship TanStack Charts with meaningful accessibility, deterministic SSR and hydration, correct adapter lifecycle, renderer and export choices, exact package subpaths, and explicit React Native validation.
Create scientific figures in Python or R, with multi-panel layout checks, editable outputs and optional AI schematic drafts.
Build themed HTML plan artifacts, dashboard iframes and Slack attachments for the Open SWE runtime.
Transform source material into an infographic using selectable layouts and visual styles.
Build consulting presentations from HTML slide parts with a design rulebook, automated checks, PDF output and an optional editable PowerPoint conversion.
Build WebGL map applications with interactive geographic layers, animations, and spatial datasets.
Choose an honest visualization from a user story, metric, comparison, projection, target, or explanatory goal before selecting TanStack Charts marks. Load whenever a user asks to graph, chart, visualize, compare, forecast, project, explain, or communicate data.
Launch an interactive dashboard for exploring a project’s saved knowledge graph.
Create Marp presentations from Markdown with SVG charts, dashboard components and reference decks, then export to HTML, PDF or PowerPoint.
Create template-driven HTML data visualizations, full-page reports, and HTML or PDF presentations with consistent typography and chart styles.
Create and edit PowerPoint decks with varied layouts, editable charts and document validation.
Use this skill whenever the user wants to create, customize, or troubleshoot G2 v5 chart visualizations. Triggers include: any mention of 'G2', 'antv g2', '@antv/g2', 'G2 chart', 'G2 可视化', or requests to produce charts like bar charts (柱状图), line charts (折线图), pie charts (饼图), scatter plots (散点图), area charts (面积图), heatmap (热力图), radar charts (雷达图), treemap (矩形树图), funnel charts (漏斗图), sankey diagrams (桑基图), gauge (仪表盘), wordcloud (词云), boxplot (箱线图), as well as G2-specific topics like encode channels, scale config, coordinate systems, transforms, interactions, themes, labels, and animations. Also use when debugging G2 rendering errors, V4→V5 migration issues, or chart type selection. Do NOT use for G6 graph/network visualization, X6 editor diagrams, or S2 pivot tables.
Create visual HTML articles, interfaces, images, motion videos and narrated web presentations, or retrieve local knowledge.
Choose a dashboard entry for interactive monitoring, a scientific figure skill for papers, and diagram or slide tools when the visual must explain rather than explore data.