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Found 257 Skills
Build interactive data applications and dashboards with pure Python - no frontend experience required
Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
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.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Expert data analysis covering SQL, visualization, statistical analysis, business intelligence, and data storytelling.
Install and use chartli to render terminal charts from numeric text files or stdin.
Use this skill any time the user wants to analyze data, create charts, or build data visualizations. This includes: sales analysis, financial modeling, cohort analysis, funnel analysis, A/B test results, KPI tracking, data reports, revenue breakdowns, user retention analysis, conversion rate analysis, CSV summarization, and dashboard creation. Also trigger when: user says 分析这组数据, 做个图表, 数据可视化, 销售分析, 漏斗分析, 留存分析, 做个数据报表. If data needs to be analyzed or visualized, use this skill.
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.
Implements Syncfusion .NET MAUI Pyramid Chart (SfPyramidChart) for visually representing hierarchical, proportional, and parts-to-whole data using pyramid-shaped segments. Use this for pyramid charts, hierarchical data visualization, proportional data display, or segment-based charts. This skill covers installation, data binding, legends, tooltips, data labels, appearance customization, and gradients.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Create powerful interactive charts with Apache ECharts - balanced ease-of-use and customization