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Found 788 Skills
Create high-quality animated explainer visuals for essays and blog posts. Use when the user wants to visualize concepts, processes, data, or ideas with interactive web animations. Triggers on requests like "create a visual for", "animate this concept", "make an explainer", "visualize this idea", "diagram this process", "show this data", or when essay content would benefit from visual explanation. Handles abstract concepts (mental models, frameworks), technical processes (algorithms, systems), and data visualization (trends, comparisons). Outputs self-contained HTML/CSS/JS that embeds directly in web content.
Expert-level data science, analytics, visualization, and statistical modeling
Guide for creating Observable Notebooks 2.0, the open-source notebook system for interactive data visualization and exploration. Use this skill when creating, editing, or building Observable notebooks.
The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.
Data visualization for charts and graphs. Use when user needs "画图/图表/可视化". Creates static PNG or interactive HTML charts from data.
Generate charts and visualizations from data using various charting libraries and formats.
Autonomous p5.js visualization agent. It implements, inspects, critiques design/UX, fixes, and launches the result.
Conduct in-depth research on topics and automatically generate knowledge relationship graph PDFs. After receiving a research topic, it automatically performs web research, information collection, knowledge organization, and finally generates a professional visualized relationship graph. Suitable for scenarios such as "research...and diagram", "in-depth analysis...and visualization", "generate knowledge graph", etc.
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Nonprofit/NGO impact report generation with data visualization suggestions, outcome metrics, narrative structure, and program data presentation. Use when writing impact reports, annual reports, or program evaluation summaries.
This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations. Trigger keywords include "analyze CSV", "analyze Excel", "data analysis", "CSV analysis", "Excel analysis", "data statistics", "generate charts", "data visualization", "分析CSV", "分析Excel", "数据分析", "CSV分析", "Excel分析", "数据统计", "生成图表", "数据可视化".
Scene-graph-driven 4-phase Three.js app builder: Design, Build, Animate, Polish. Use when user wants a 3D web app, interactive scene, WebGL visualization, or product viewer. Use for "create a threejs scene", "build 3D web app", "make a 3D animation", or "interactive 3D showcase". Do NOT use for full game engines, 3D model creation, VR/AR experiences, or CAD workflows.