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Found 351 Skills
Generate professional infographics using each::sense AI. Create statistical, process, comparison, timeline, list, geographic, hierarchical, resume, report, and social media infographics optimized for visual communication.
Access PUDL table data plus table/column/source metadata in Jupyter or Marimo notebooks for debugging and visualization. Use when users ask what a table contains, how to read it, or how columns are defined.
This skill should be used when analyzing CSV datasets, handling missing values through intelligent imputation, and creating interactive dashboards to visualize data trends. Use this skill for tasks involving data quality assessment, automated missing value detection and filling, statistical analysis, and generating Plotly Dash dashboards for exploratory data analysis.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.
Comprehensive AB testing analysis tool that supports experimental design, statistical testing, user segmentation analysis, and visual report generation. It is used to analyze AB test results such as product revisions, marketing campaigns, and function optimizations, providing statistical significance testing and in-depth insights.
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.
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.
Guide for creating data visualizations in Shopify Apps using the Polaris Viz library. Use this skill when building charts, graphs, dashboards, or any data visualization components that need to integrate with the Shopify Admin aesthetic. Covers BarChart, LineChart, DonutChart, SparkLineChart, and theming.
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.
Generate publication-ready scientific figures in Python/matplotlib with a consistent figures4papers house style. Use when creating or refining academic bar/trend/heatmap/scatter/multi-panel figures, enforcing visual consistency, or exporting paper-ready PNG/PDF/SVG outputs.