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Found 22 Skills
Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.
Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Create powerful interactive charts with Apache ECharts - balanced ease-of-use and customization
Implement Syncfusion Angular Chart component for professional data visualization. Use this when creating or customizing charts such as line, bar, column, area, pie, financial (candlestick, OHLC), scatter, bubble, or stock charts. Supports axes configuration, series binding, legends, tooltips, zooming, real-time updates, technical indicators, themes, export, and accessibility features.
Create enterprise-grade interactive charts with Highcharts
A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.
Generate an interactive options payoff curve chart with dynamic parameter controls. Use this skill whenever the user shares an options position screenshot, describes an options strategy, or asks to visualize how an options trade makes or loses money. Triggers include: any mention of butterfly, spread (vertical/calendar/diagonal/ratio), straddle, strangle, condor, covered call, protective put, iron condor, or any multi-leg options structure. Also triggers when a user pastes strike prices, premiums, expiry dates, or says things like "show me the payoff", "draw the P&L curve", "what does this trade look like", or uploads a screenshot from a broker (IBKR, TastyTrade, Robinhood, etc). Always use this skill even if the user only provides partial info — extract what you can and use defaults for the rest.
Interactive web-based charts for data analysis and business intelligence. Project-based output in output/chart-html/<project>/ with HTML + script + data + screenshot.
Comprehensive guide for implementing Syncfusion React TreeMap component. Use this skill when users need help creating hierarchical data visualizations, configuring drill-down interactions, applying color mapping, working with multiple hierarchy levels, customizing leaf items, or troubleshooting TreeMap data binding and display issues. Covers installation, data binding patterns, layouts, legends, tooltips, selection, accessibility, and advanced customization for interactive hierarchical data exploration.
Implement Syncfusion React HeatMap Chart component for data visualization. Use this skill when user needs to create heatmaps, visualize 2D data patterns, display matrix data with color gradients, configure axes (numerical/categorical/datetime), implement legends, handle cell selection, apply custom styling, or work with large datasets. Covers installation, data binding, axis configuration, appearance customization, interaction patterns, tooltips, events, and accessibility.
Implement Syncfusion Angular HeatMap Chart component for visualizing two-dimensional data with color gradients. Use this skill whenever users need to create heatmaps, visualize data matrices, display data with color-coded cells, configure axes (numeric/categorical/datetime), add legends, customize colors and rendering modes, handle cell selection and events, or implement accessibility features. Includes data binding, axis types, interactive selection, tooltips, and bubble heatmaps.