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Found 928 Skills
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Analyze trends and patterns in health data over a period of time. Correlate changes in medications, symptoms, vital signs, lab results, and other health indicators. Identify concerning trends, improvements, and provide data-driven insights. Use this when users ask about health trends, patterns, changes over time, or "What's changed with my health status?" Supports multi-dimensional analysis (weight/BMI, symptoms, medication adherence, lab results, mood and sleep), correlation analysis, change detection, and interactive HTML visualization reports (ECharts charts).
Create and manage Kibana Dashboards and Lens visualizations. Use when you need to define dashboards and visualizations declaratively, version control them, or automate their deployment.
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.
Guide for implementing Syncfusion WPF Surface Chart (SfSurfaceChart) components for three-dimensional data visualization. Use this skill always when the user mentions 3D charts, surface chart, surface visualization, 3D data plotting, contour charts, wireframe charts, SfSurfaceChart, or needs to visualize three-dimensional data points with X, Y, Z coordinates. Apply this when user requests 3D data visualization, mathematical surface plotting, topographical charts, or any scenario involving three axes of data.
Implement interactive spatial data visualization with Syncfusion Maps component for Blazor. Use this skill when user needs to display geographic data, add markers/polygons to maps, integrate map providers (Google Maps, Bing Maps, Azure Maps, OpenStreetMap), create choropleth visualizations, handle user interactions with maps, export/print maps, support internationalization, implement accessibility features, or customize map styling and appearance.
Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.
Create charts, tables, and visualizations from queries. Use this whenever the user wants to see data as a chart or formatted table, or asks for a visualization.
This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.
Implement Syncfusion React Sparkline components for compact, inline data visualization. Use this when working with sparklines, mini charts, or trend indicators in constrained spaces. This skill covers all 5 sparkline types (line, column, area, win-loss, pie), tooltips, markers, data labels, range bands, axis customization, and themes. Ideal for displaying data trends within grids, dashboards, or tables without full-sized charts.
Create and customize Syncfusion Angular TreeMap components for hierarchical data visualization. Use this skill when you need to implement a TreeMap, visualize hierarchical data structures, configure multi-level layouts, apply color mapping, enable drilldown navigation, add labels and tooltips, configure legends, handle selection and highlight, export to images or PDF, print, or customize internationalization and accessibility. Covers installation, data binding, layout types, levels, color mapping, labels, tooltips, legends, drilldown, interactivity, print/export, RTL, locale formatting, and accessibility.