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Found 283 Skills
Map "Profit Growth × Financial Conditions (Financial Environment)" to the "Investment Clock" to determine the current quadrant, whether it has been rotating clockwise or counterclockwise recently, and the position difference compared to the previous cycle.
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.
Design effective data visualizations and charts. Generate chart configurations for ECharts, Chart.js, and other libraries. Create dashboards and reports.
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.
Create interactive maps with markers, heatmaps, routes, and choropleth layers. Use when visualizing geographic data, plotting locations, or creating map-based reports.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visualization, Recharts.
Guide for creating Observable Notebooks 2.0, the open-source notebook system for interactive data visualization and exploration. Use this skill when creating, editing, or building Observable notebooks.
Create beautiful infographics with pre-designed templates. Best for KPI cards, timelines, roadmaps, step-by-step processes, A vs B comparisons, SWOT analysis, funnels, org trees, pie/bar charts. Use when you need quick visual impact with 4-8 items. Simple YAML-like syntax. NOT for complex data analysis (use vega) or technical flowcharts (use mermaid).
Create data-driven charts with Vega-Lite (simple) and Vega (advanced). Best for bar, line, scatter, heatmap, area charts, and multi-series analytics. Use when you have numeric data arrays needing statistical visualization. Vega for radar charts and word clouds. NOT for process diagrams (use mermaid) or quick KPI cards (use infographic).
Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
Implement Syncfusion WPF Heat Map (SfHeatMap) control for matrix-based data visualization using color gradients. Use this when visualizing tabular data with color-coded cells, creating heat map charts, or displaying data density patterns. This skill covers data mapping, color palette configuration, legend customization, and cell label formatting for WPF applications.