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Found 799 Skills
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and dynamics (Schrödinger, master equations, Monte Carlo), (4) open quantum systems with dissipation, (5) quantum measurements and entanglement, (6) visualization (Bloch sphere, Wigner functions), (7) steady states and correlation functions, or (8) advanced methods (Floquet theory, HEOM, stochastic solvers). Handles both closed and open quantum systems across various domains including quantum optics, quantum computing, and condensed matter physics.
Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data, calculating statistics or building data-driven stories. Essential for reporters, newsrooms and researchers working with quantitative information.
Plotly interactive visualization library. Use for interactive charts.
Web accessibility patterns for news sites, journalism tools, and academic platforms. Use when building accessible interfaces, auditing existing sites for WCAG compliance, writing alt text for news images, creating accessible data visualizations, or ensuring content reaches all readers including those using assistive technologies. Essential for newsroom developers and anyone publishing web content.
Autonomous p5.js visualization agent. It implements, inspects, critiques design/UX, fixes, and launches the result.
Create HTML timelines and project roadmaps with Gantt charts, milestones, phase groupings, and progress indicators. Use when users request timelines, roadmaps, Gantt charts, project schedules, or milestone visualizations.
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
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.
Implement Syncfusion Windows Forms Pivot Chart control for visualizing multidimensional data with interactive drill-down capabilities. Use this when working with pivot charts, pivot data visualization, drill-down charts, hierarchical chart data, or business intelligence visualizations. Supports 11+ chart types (Line, Spline, Column, Area, Stacking), data binding with IEnumerable/DataTable, drill up/down operations, pivot table field list, grouping bar, legend customization, Excel export, zooming, scrolling, and touch support.
Turn any concept, idea, or description into a polished static HTML visual, then export it as a PNG or SVG image file. Use this skill when the user explicitly needs an image file output (PNG or SVG). This includes: concept diagrams, flowcharts, comparison charts, process visuals, educational diagrams, social media graphics, data visualizations, posters, cards, badges, icons, logo sketches, or any "make me an image of X" request achievable with HTML/CSS/SVG rather than photographic AI generation. Also trigger when the user has an existing HTML visual and wants to export/convert it to PNG or SVG. Trigger phrases: "create an image of", "export as PNG", "save as SVG", "concept to image", "turn this into an image", "screenshot this HTML", "design a graphic for export". For interactive HTML visuals opened in a browser, use static-web-artifacts-builder instead.
Design effective data dashboards with proper KPI hierarchy, chart type selection, and interactive features. Use this skill when the user needs to create a dashboard, choose the right visualizations, organize metrics for different audiences, or evaluate dashboard tools — even if they say 'build a dashboard', 'our reports are confusing', 'which chart should I use', or 'executives can't find the metrics they need'.