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Found 285 Skills
Generate self-contained HTML pages that visually explain systems, data stories, investigations, editorial workflows, and code changes. Use when the user asks for diagrams, architecture views, visual diffs, data tables, timelines, source maps, or any structured visualization that would be painful to read as terminal output. Also activates for tables with 4+ rows or 3+ columns. Adapted from nicobailon/visual-explainer with journalism, newsroom, and academic design sensibilities.
Comprehensive CSV data analysis and visualization tool. Use this skill when analyzing CSV files, generating data summaries, creating visualizations from data, detecting outliers, finding correlations, assessing data quality, or creating data reports. Triggers on CSV analysis, data exploration, data visualization, data profiling, statistical analysis, or data quality assessment requests.
Generate dark-mode-compatible inline SVG data visualization charts for blog posts. Supports horizontal bar, grouped bar, donut, line, lollipop, area, and radar charts with automatic platform detection (HTML vs JSX/MDX). Enforces chart type diversity, accessible markup (role=img, aria-label), source attribution, and transparent backgrounds. Use when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", "visualize data", or when the blog-write workflow identifies chart-worthy data points (3+ comparable metrics, trends, before/after data).
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) using Python (`openpyxl`, `pandas`), especially when formulas, references, and formatting need to be preserved and verified.
Using Deck.gl in Observable Framework for large-scale geospatial data visualization.
Create D3.js charts and interactive data visualizations. Use when building bar charts, line charts, scatter plots, pie charts, force-directed graphs, geographic maps, or any custom data visualization.
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.
Perform statistical hypothesis testing, regression analysis, ANOVA, and t-tests with plain-English interpretations and visualizations.
Nonprofit/NGO impact report generation with data visualization suggestions, outcome metrics, narrative structure, and program data presentation. Use when writing impact reports, annual reports, or program evaluation summaries.
Turn research findings into presentation outlines with narrative arc, data visualization suggestions, audience adaptation, and slide design guidance. Use when creating research presentations, conference talks, or findings briefings.
生成专业信息图，包含 21 种布局类型和 20 种视觉风格。分析内容，推荐布局×风格组合，生成可发布的信息图。当用户要求创建"信息图"、"可视化"、"高密度信息大图"、"visual summary"时使用。