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Found 351 Skills
Automatic CSV Data Analysis and Insight Generation Tool
Braiins Learn - Bitcoin mining profitability calculators, charts, and data dashboard
Data visualization for charts and graphs. Use when user needs "画图/图表/可视化". Creates static PNG or interactive HTML charts from data.
Professional data visualization creation using D3.js with support for interactive charts, custom visualizations, animations, and responsive design. Use for: (1) Creating custom interactive charts, (2) Building dashboards, (3) Network/graph visualizations, (4) Geographic data mapping, (5) Time series analysis, (6) Real-time data visualization, (7) Complex multi-dimensional data displays
Create beautiful infographics based on the given text content. Use this when users request creating infographics.
Build production-ready Plotly Dash dashboards with consistent theming, clear layouts, and performant callbacks.
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Use when building charts, data visualisations, or dashboards with Recharts. Also use when integrating Recharts with HeroUI, reviewing chart components, or creating responsive chart containers. Generates Recharts charts styled with HeroUI v3 design tokens and Tailwind CSS v4.
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.
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
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.
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.