Loading...
Loading...
Found 351 Skills
Design effective data visualizations and charts. Generate chart configurations for ECharts, Chart.js, and other libraries. Create dashboards and reports.
Build production-grade Streamlit apps. Used when creating, editing, debugging, or deploying Streamlit applications. Routes to specialized sub-skills for performance, layouts, design, data display, and more.
Implement Syncfusion ASP.NET Core Accumulation Charts for proportional data visualization. Use this when creating pie charts, doughnut charts, pyramid charts, or funnel charts in ASP.NET Core applications. This skill covers chart setup, data binding, legends, tooltips, data labels, grouping, and accessibility features. Suitable for visualizing market share, sales distribution, survey results, and other percentage-based data representations.
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.
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.
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.
基于给定文字内容创建精美信息图。当用户请求创建信息图时使用。
Create SVG graphics through programmatic code generation. Use this skill when the user asks to create icons, logos, illustrations, diagrams, data visualizations, generative art, patterns, fractals, or any vector graphics. Provides executable Python scripts for grids, radial patterns, fractals, waves, particles, charts, icons, and optimization.
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
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).
Use this skill for generating data-driven charts and visualizations using Python. Triggers: "create chart", "generate graph", "plot data", "visualize data", "bar chart", "line chart", "pie chart", "comparison chart", "positioning matrix", "trend chart", "market size chart", "TAM SAM SOM", "growth chart", "data visualization" Outputs: PNG/SVG chart images with accurate data representation. Used by: competitive-intel-agent, market-researcher-agent, pitch-deck-agent, review-analyst-agent
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.