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Found 354 Skills
Guide to implementing Syncfusion Maps in TypeScript and JavaScript. Use this skill whenever the user needs to create interactive maps, add markers, visualize geographical data, work with map layers, apply color mapping, add annotations, configure legends, or handle map interactions and events. Works with TypeScript (module-based) and JavaScript (CDN/ES5).
Implement Syncfusion Blazor Chart (SfChart) component for comprehensive data visualization. Use this when creating line charts, bar/column charts, area charts, financial charts, or statistical visualizations. This skill covers 30+ chart types including scatter plots, bubble charts, candlestick charts, and specialized charts like waterfall, histogram, and polar charts for Blazor applications.
Implements Syncfusion ASP.NET Core TreeGrid for hierarchical data with sorting, filtering, editing, exporting, paging, virtual scrolling, and advanced features. Supports configuration, CRUD, aggregates, templates, state persistence, and performance optimization in ASP.NET Core applications.
Access PUDL table data plus table/column/source metadata in Jupyter or Marimo notebooks for debugging and visualization. Use when users ask what a table contains, how to read it, or how columns are defined.
Fast Python framework for building interactive web apps, dashboards, and data visualizations without HTML/CSS/JavaScript. Use when user wants to create data apps, ML demos, dashboards, data exploration tools, or interactive visualizations. Transforms Python scripts into web apps in minutes with automatic UI updates.
Expert data analysis covering SQL, visualization, statistical analysis, business intelligence, and data storytelling.
The foundational library for creating static, animated, and interactive visualizations in Python. Highly customizable and the industry standard for publication-quality figures. Use for 2D plotting, scientific data visualization, heatmaps, contours, vector fields, multi-panel figures, LaTeX-formatted plots, custom visualization tools, and plotting from NumPy arrays or Pandas DataFrames.
Fetch and analyze Readwise reading activity for any date range. Use when user asks about articles saved, highlights created, or most-highlighted content for today, yesterday, last week, last month, or custom date ranges (e.g., "show my Readwise activity from Jan 1-7"). Requires READWISE_API_TOKEN env var. Connects to Readwise Highlights API (v2) and Reader API (v3).
Data analysis expert for statistics, visualization, pandas, and exploration
Plotly Chart Generator - Auto-activating skill for Visual Content. Triggers on: plotly chart generator, plotly chart generator Part of the Visual Content skill category.
Analyze historical downtrend durations and generate interactive HTML histograms showing typical correction lengths by sector and market cap.
Use when the user needs ML pipelines, statistical analysis, data preprocessing, feature engineering, model selection, experiment tracking, or data visualization. Triggers: dataset exploration, model training, feature engineering, hyperparameter tuning, experiment tracking setup, statistical hypothesis testing, visualization creation.