Skill UI

Automates guidance for technical diagram analysis, offering best practices for diagrams, charts, presentations, and validating code or visuals to meet visual documentation standards.

Automates user journey mapper tasks in the Visual Content domain by triggering whenever you mention user journey mapper needs, then guiding each step, applying best practices, and generating validated diagrams, charts, and documentation-ready material.

Plotly is a Python graphing library for interactive, publication-quality visuals that bring hover, zoom, animation, and dashboard-ready exports to exploratory analysis and presentations.

Transforms natural-language prompts into Excalidraw JSON diagrams, supporting flowcharts, relationships, mind maps, architecture, DFD, swimlane, class, sequence, and ER views; ideal when users ask to visualize processes or system structures and need editable Excalidraw files.

This comprehensive tool helps users set, track, and optimize personal health goals using deep data analysis. It validates goals against the SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound) and tracks progress by correlating diverse health data, including nutrition, exercise, and sleep patterns. Key features include habit formation analysis, motivation assessment, identifying roadblocks, and generating interactive reports with ECharts visualizations, providing a holistic view of wellness journeys.

A comprehensive tool for generating publication-quality figures essential for Machine Learning and AI academic papers. It supports two distinct workflows: generating complex system architecture and workflow diagrams using AI (Gemini), and creating precise, data-driven visualizations (line charts, heatmaps, etc.) using standard libraries like matplotlib and seaborn. Use it when preparing any figure for a conference submission.

This comprehensive tool generates high-quality Mermaid diagram code (including flowcharts, sequence diagrams, ER diagrams, etc.) directly from natural language user requirements. It handles complex structured output, mandatory syntax validation using dedicated CLI tools, and detailed visual review to ensure the accuracy of all components and connections.

Plotly is a powerful Python graphing library designed to create highly interactive, publication-quality visualizations. It supports over 40 chart types, including scatter plots, heatmaps, candlestick charts, and geographical maps. Ideal for building sophisticated dashboards, conducting deep exploratory data analysis, and creating rich, web-embeddable presentations with features like zooming, panning, and hover tooltips.

This skill provides a comprehensive workflow to transform raw data into professional visual charts. It intelligently analyzes data features (e.g., trends, comparisons, flows) to select the optimal chart type (line, bar, pie, etc.). Users provide data and specifications, and the skill generates a high-quality, detailed chart image using a structured JavaScript process.

Create, update, and connect nodes/edges inside Obsidian .canvas files, enabling structured mind maps, flowcharts, and visual canvases by validating IDs, spacing, and JSON integrity.

Guides Power BI visualization and UX decisions—capturing business context, selecting optimal charts, specifying layouts, color, typography, and interaction patterns to create accessible, insight-driven dashboards across audiences.

This comprehensive tutor develops advanced visual literacy and design thinking skills. It covers core disciplines including art history, color theory, typography, and UX/UI principles. Users learn through structured critique, mastering foundational concepts like Gestalt principles, C.R.A.P. principles, and formal analysis. Ideal for improving creative portfolios, analyzing art, and refining fundamental design skills across any medium.