Loading...
Loading...
Found 354 Skills
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.
Provides comprehensive guidance for Lime ECharts including chart creation, configuration, data visualization, and interactive charts. Use when the user asks about Lime ECharts, needs to create charts, visualize data, or work with ECharts features.
Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.
Apple Human Interface Guidelines for content display components. Use this skill when the user asks about "charts component", "collection view", "image view", "web view", "color well", "image well", "activity view", "lockup", "data visualization", "content display", displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says "how should I display charts", "what's the best way to show images", "should I use a web view", "how do I build a grid of items", "what component shows media", or "how do I present a share sheet". Cross-references: hig-foundations for color/typography/accessibility, hig-patterns for data visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.
Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling.
Build modern Shiny dashboards and applications using bslib (Bootstrap 5). Use when creating new Shiny apps, modernizing legacy apps (fluidPage, fluidRow/column, tabsetPanel, wellPanel, shinythemes), or working with bslib page layouts, grid systems, cards, value boxes, navigation, sidebars, filling layouts, theming, accordions, tooltips, popovers, toasts, or bslib inputs. Assumes familiarity with basic Shiny.
Set up the Python environment for OpenAlgo indicator analysis. Installs openalgo, plotly, dash, streamlit, numba, yfinance, matplotlib, seaborn, and creates the project folder structure.
Help create paper-quality plots and figures with matplotlib or seaborn. Use when the user asks for plots, figures, or visualizations.
Generate publication-quality figures and tables from experiment results. Use when user says "画图", "作图", "generate figures", "paper figures", or needs plots for a paper.
Implement Syncfusion React Charts component for data visualization. Use this when creating charts, configuring axes and series, or customizing visualization styles. This skill covers chart types, data binding, user interactions, financial indicators, accessibility features, and professional data visualization in React applications.
Football data analytics — the single entry point. Use whenever the user mentions football data, xG, expected goals, match analysis, player stats, scouting, match reports, shot maps, passing networks, Premier League data, Champions League stats, scraping FBref/Understat/Transfermarkt, building football charts, or anything football analytics related. Routes to specialised sub-skills automatically. Also handles first-time setup and profile management.
Generate high-density information graphics, data visualizations, and blueprint-style infographics. Use when: "信息图生成", "数据可视化", "infographic", "蓝图风格", "长图制作", "data visualization", "信息图表", "可视化报告", "vision蓝图", "技术架构图", "思维导图", "知识图谱", "timeline图", "流程图可视化". Creates visually striking, information-dense graphics suitable for technical documentation, architecture diagrams, and knowledge sharing. Part of UniqueClub content toolkit. Learn more: https://uniqueclub.ai