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Found 185 Skills
EDA toolkit. Analyze CSV/Excel/JSON/Parquet files, statistical summaries, distributions, correlations, outliers, missing data, visualizations, markdown reports, for data profiling and insights.
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.
Data visualization for Python: Matplotlib, Seaborn, Plotly, Altair, hvPlot/HoloViz, and Bokeh. Use when creating exploratory charts, interactive dashboards, publication-quality figures, or choosing the right library for your data and audience.
Use when creating infographics, data visualizations, process diagrams, timelines, or comparisons - generates branded infographics using @antv/infographic with 114 templates across 7 categories. Triggers on "create infographic", "make infographic", "visualize data", "timeline", "process diagram".
Create publication-quality matplotlib/seaborn charts with readable axes, tight layout, and curated palettes.
Correlation Analyzer - Auto-activating skill for Data Analytics. Triggers on: correlation analyzer, correlation analyzer Part of the Data Analytics skill category.
Retention Calculator - Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Regression Analysis Helper - Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category.
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.
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.