Data Visualization

A comprehensive business analytics skill that teaches data storytelling techniques, KPI dashboard design patterns, and business analysis methodologies. It provides frameworks, templates, and example code for creating compelling data narratives and effective dashboards, but contains no executable scripts - all content is educational reference material.

This skill provides comprehensive reference documentation for MATLAB and GNU Octave numerical computing environments. It covers matrix operations, linear algebra, data visualization, file I/O, differential equations, signal processing, and Python integration with extensive code examples and best practices.

This skill creates professional 50+ page market research reports modeled after McKinsey and BCG deliverables. It includes automated generation of business diagrams (Porter's Five Forces, TAM/SAM/SOM, competitive matrices), LaTeX formatting with custom styling, and multi-framework strategic analysis including SWOT and PESTLE.

This skill helps researchers create publication-ready scientific figures with proper formatting for major journals like Nature, Science, and Cell. It provides colorblind-friendly color palettes, multi-panel layout tools, statistical visualization helpers, and export utilities that ensure figures meet journal-specific resolution and format requirements.

This skill provides access to the BRENDA enzyme database, the world's most comprehensive enzyme information system. It enables researchers to retrieve kinetic parameters (Km, kcat, Vmax), reaction equations, substrate specificities, and optimal conditions for over 45,000 enzymes. The skill also supports metabolic pathway construction and retrosynthetic analysis for enzyme engineering applications.

This skill provides comprehensive documentation and examples for using the seaborn Python library for statistical data visualization. It covers core plotting functions (scatter, line, distribution, categorical, regression, and matrix plots), the modern objects interface API, multi-plot grids, theming, and best practices for creating publication-quality figures.

This skill provides comprehensive guidance for using Plotly, a Python library for creating interactive, publication-quality data visualizations. It covers 40+ chart types including scatter plots, bar charts, 3D surfaces, and geographic maps, along with styling, export options, and Dash integration for web applications.

This skill provides expert guidance on using matplotlib for data visualization in Python. It covers both pyplot and object-oriented interfaces, includes comprehensive reference documentation for plot types, styling, and troubleshooting, plus ready-to-use template scripts for creating publication-quality figures.

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

A comprehensive health goal management skill that analyzes fitness, nutrition, and wellness goals using SMART criteria. It tracks progress, identifies habit patterns, evaluates motivation levels, and generates interactive HTML reports with charts. The skill operates entirely locally on user-provided health data files.

Mviz is a data visualization skill that generates clean, professional charts and dashboards from compact JSON specifications or markdown files. It supports 17+ chart types (bar, line, scatter, heatmap, sankey, etc.) and 8 UI components, using a 16-column grid layout system with light/dark theme support.

A comprehensive guide for creating interactive data visualizations using D3.js. Provides detailed code patterns for bar charts, line charts, scatter plots, heatmaps, chord diagrams, force-directed networks, geographic maps, and hierarchical visualizations, along with reference materials for color schemes, scales, and responsive design.