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Found 412 Skills
Modular data visualization framework for React, Angular, Svelte, Vue, and vanilla TypeScript or JavaScript. ALWAYS use when writing code importing "@unovis/vue". Consult for debugging, best practices, or modifying @unovis/vue, unovis/vue, unovis vue, unovis.
Implement Syncfusion Blazor Sparkline Charts for compact, inline trend visualizations in Blazor applications. Use this when creating mini charts, KPI indicators, dashboard sparklines, or word-sized data visualizations. This skill covers line, area, column, WinLoss, and pie sparklines, including data labels, markers, special points (high/low/negative), range bands, tooltips, and appearance customization. Ideal for dashboards, data tables with inline trends, email reports, and mobile data visualization scenarios requiring compact trend indicators.
Implements the Syncfusion React Range Navigator component for scrolling and navigating through data with range selection. Use this when users need time-based navigation, financial data visualization, or chart integration with a range selector control. Supports numeric, logarithmic, and DateTime data binding, multiple series types, period selector, lightweight mode, tooltips, RTL, and export/print functionality.
Implement Syncfusion Angular Bullet Chart component for performance comparison visualizations. Use this when displaying actual vs target values, defining quality ranges, customizing axes and labels, or creating accessible performance indicators. Covers getting started, data binding, axes configuration, visual elements, and customization.
Create or edit Python routines for market analysis, monitoring, and data visualization. Use when the user asks to create, modify, or fix a routine in the routines/ folder.
Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling. Use when creating dashboards, building interactive reports, or generating shareable HTML files with charts and filters that work without a server.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Invoke BEFORE starting implementation.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Comprehensive guide for implementing Syncfusion WPF Charts (SfChart) in Windows Presentation Foundation applications. Use this when working with WPF charts, data visualization, or interactive charting features. This skill covers chart series types, axes configuration, data binding, appearance customization, financial charts, technical indicators, and interactive features like zooming and tooltips for WPF applications.
Specifies requirements for an analytics dashboard including metrics, visualizations, filters, and data sources. Use when requesting dashboards from data teams, defining KPI tracking, or documenting reporting needs.
Apply the Law of Similarity — shared colour, shape, or size signals that elements belong to one category. Use when signalling relationships across distance. For grouping by position, use `law-of-proximity`.