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Found 928 Skills
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.
Comprehensive guide for implementing Syncfusion Blazor Sankey Diagram (SfSankey) component for flow visualization in Blazor applications. Use this when working with Sankey diagrams, flow visualization, or process flows. This skill covers node and link configuration, data binding, flow magnitude representation, and diagram customization. Ideal for visualizing energy flows, supply chain relationships, user journey maps, traffic analysis, and any scenario involving flows between categories or stages.
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Cross-cutting OmniStudio analysis skill for namespace detection, dependency visualization, and impact analysis across OmniScripts, FlexCards, Integration Procedures, and Data Mappers. TRIGGER when: user asks about OmniStudio dependencies, wants namespace detection (Core vs vlocity_cmt vs vlocity_ins), needs impact analysis, requests dependency graphs or Mermaid diagrams, or asks which components are affected by a change. DO NOT TRIGGER when: authoring OmniScripts (use omnistudio-omniscript-generate), building FlexCards (use omnistudio-flexcard-generate), creating Integration Procedures (use omnistudio-integration-procedure-generate), or configuring Data Mappers (use omnistudio-datamapper-generate).
Teach concepts and skills through adaptive, evidence-oriented tutoring and first-class immersive visualization for quick explanations, focused lessons, and consent-based multi-session courses. Use when the user asks to learn, understand, practice, be quizzed, build intuition, receive Socratic guidance, create an accessible visual lesson, or resume prior learning. Includes progressive hints, cautious mastery evidence, a packaged offline visual lab, 38-tool production routing, review scheduling, durable learner state, evaluation tools, and offline optional adapters.
Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
Create custom, highly interactive data visualizations with D3.js (Data-Driven Documents)
Create high-quality animated explainer visuals for essays and blog posts. Use when the user wants to visualize concepts, processes, data, or ideas with interactive web animations. Triggers on requests like "create a visual for", "animate this concept", "make an explainer", "visualize this idea", "diagram this process", "show this data", or when essay content would benefit from visual explanation. Handles abstract concepts (mental models, frameworks), technical processes (algorithms, systems), and data visualization (trends, comparisons). Outputs self-contained HTML/CSS/JS that embeds directly in web content.
Create interactive Sankey diagrams for flow visualization from CSV, DataFrame, or dict data. Supports node/link styling and HTML/PNG/SVG export.
Create data-driven charts with Vega-Lite (simple) and Vega (advanced). Best for bar, line, scatter, heatmap, area charts, and multi-series analytics. Use when you have numeric data arrays needing statistical visualization. Vega for radar charts and word clouds. NOT for process diagrams (use mermaid) or quick KPI cards (use infographic).
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.