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Found 412 Skills
Masthead + KPI + 收入/烧钱图 + P&L 表 + 重点 + 展望
Bklit UI charts and data visualization for any project using the @bklit shadcn registry. Install, compose, theme, and animate charts correctly. Triggers when working with @bklitui/ui/charts, @bklit components, data visualization, dashboards, or chart theming. Also invoke manually for chart tasks.
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.
Use when a user provides tabular business data (Excel/CSV) and wants market-facing, non-academic insights with unclear analysis direction, requiring automatic metric/dimension selection and actionable outputs.
Generate styled word clouds from text with custom shapes, colors, fonts, and stopword filtering. Supports PNG/SVG export and frequency dictionaries.
Generate D3.js visualizations including charts, graphs, and interactive data visualizations. Use when creating data visualizations with D3.js.
Perform statistical hypothesis testing, regression analysis, ANOVA, and t-tests with plain-English interpretations and visualizations.
Install and use chartli to render terminal charts from numeric text files or stdin.
Interactive web-based charts for data analysis and business intelligence. Project-based output in output/chart-html/<project>/ with HTML + script + data + screenshot.
Comprehensive guide for implementing Syncfusion React TreeMap component. Use this skill when users need help creating hierarchical data visualizations, configuring drill-down interactions, applying color mapping, working with multiple hierarchy levels, customizing leaf items, or troubleshooting TreeMap data binding and display issues. Covers installation, data binding patterns, layouts, legends, tooltips, selection, accessibility, and advanced customization for interactive hierarchical data exploration.
Use when analyzing research datasets, cleaning tabular data, selecting statistical tests, producing result tables, creating publication figures, or moving notebook logic into reproducible code.
A high-level interactive graphing library for Python. Ideal for web-based visualizations, 3D plots, and complex interactive dashboards. Built on plotly.js, it allows users to zoom, pan, and hover over data points in a browser-based environment. Use for interactive charts, web applications, Jupyter notebooks, 3D data visualization, geographic maps, financial charts, animations, time-series analysis, and building production-ready dashboards with Dash.