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Found 924 Skills
Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling.
Generate algorithmic patterns and creative visualizations. Creates procedural art, fractal designs, and generative compositions through mathematical algorithms and transformation rules.
Data analysis expert for statistics, visualization, pandas, and exploration
Implement Syncfusion ASP.NET Core Accumulation Charts for proportional data visualization. Use this when creating pie charts, doughnut charts, pyramid charts, or funnel charts in ASP.NET Core applications. This skill covers chart setup, data binding, legends, tooltips, data labels, grouping, and accessibility features. Suitable for visualizing market share, sales distribution, survey results, and other percentage-based data representations.
Implements the Syncfusion React Bullet Chart component for KPI and performance indicator visualization. Use this when users need feature measure displays, comparative measures, target comparisons, or metric visualizations. Covers data binding, value bars, target bars, ranges, titles, tooltips, data labels, axis customization, orientation, and accessibility.
Implement Syncfusion Angular Stock Chart component for displaying financial data and OHLC charts. Use this skill whenever users need to create stock charts, display candlestick or OHLC data, add technical indicators, implement date range selection, or work with time-series financial visualization. Includes series types, axis customization, interactive features, and export capabilities.
Create SVG graphics through programmatic code generation. Use this skill when the user asks to create icons, logos, illustrations, diagrams, data visualizations, generative art, patterns, fractals, or any vector graphics. Provides executable Python scripts for grids, radial patterns, fractals, waves, particles, charts, icons, and optimization.
Draw diagrams, flowcharts, and visualizations on an Excalidraw canvas. Use when the user asks to draw, visualize, create diagrams, or sketch ideas.
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.
Expert guide for LayerChart, a Svelte component library for building diverse data visualizations (Cartesian, radial, hierarchical, geo, graph) with unopinionated building blocks, motion primitives, and advanced interactions.
Generates interactive HTML visualizations — UI mockups, ERDs, flowcharts, charts, slides, architecture diagrams, dashboards, timelines, mindmaps, kanban boards, tables, wireframes. Use when the user asks to visualize, mock up, diagram, chart, create ERD, generate slides, architecture diagram, dashboard, timeline, mindmap, kanban, table, wireframe, or interactive HTML.
Use when you need to generate Java project diagrams — including UML sequence diagrams, UML class diagrams, C4 model diagrams, and UML state machine diagrams — through a modular, step-based interactive process that adapts to your specific visualization needs. Part of the skills-for-java project