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Found 788 Skills
Use when presenting data insights, creating infographics, or making complex information visual
Design clear, accessible data visualizations with appropriate chart selection and styling.
Build and extend Git City — a 3D pixel art city where GitHub profiles become interactive buildings using Next.js, Three.js, and Supabase.
Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions
Professional data visualization expert, proficient in modern chart libraries, dashboard design, and interactive data presentation. Capable of transforming complex data into intuitive, beautiful, and insightful visual works.
Visualize interior design transformations using each::sense AI. Redesign rooms, change styles, update color schemes, and preview renovations from photos of your existing spaces.
Visualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.
Data visualization design based on Stanford CS448B. Use when: (1) Choosing appropriate chart types for data (2) Selecting visual encodings (position, color, size) (3) Critiquing or improving visualizations (4) Building D3.js visualizations (5) Designing interactions and animations (6) Choosing color palettes for accessibility (7) Visualizing networks or text data Covers Bertin, Mackinlay, Cleveland & McGill principles.
EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.
Build effective charts, dashboards, and reports across analytics, infrastructure monitoring, and ML domains. Use for library selection, visualization UX, accessibility, and domain-specific dashboard design.
Recommend appropriate chart types for experimental data with rationale and tool hints. Geography-aware: choropleth, spatial scatter, kernel density when spatial data detected. 为实验数据推荐合适的图表类型，支持地理空间数据可视化建议。
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and Python pandas operations.