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Found 185 Skills
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
Create and manage Kibana Dashboards and Lens visualizations. Use when you need to define dashboards and visualizations declaratively, version control them, or automate their deployment.
Data analysis expert for statistics, visualization, pandas, and exploration
Create Mermaid diagrams and convert them to images. Use when needing to visualize flows, architecture, or data structures.
Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.
Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
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.
Locate and adapt real plotting examples from the figures4papers repository. Use when users ask for a figure in the style of specific papers/projects, want the closest existing script template, or need fast script selection by chart type/domain before customization.
Plotly Chart Generator - Auto-activating skill for Visual Content. Triggers on: plotly chart generator, plotly chart generator Part of the Visual Content skill category.
Use when working with R ggplot2 package, especially ggplot2 4.0+ features. Covers S7 migration (@ property access), theme defaults with ink/paper/accent, element_geom(), from_theme(), theme shortcuts (theme_sub_*), palette themes, labels with dictionary/attributes, discrete scale improvements (palette, continuous.limits, minor_breaks, sec.axis), position aesthetics (nudge_x/nudge_y, order), facet_wrap dir/space/layout, boxplot/violin/label styling, stat_manual(), stat_connect(), coord reversal.
Use this skill when designing presentations, slide decks, or pitch materials. Triggers on "create a presentation", "design slides", "build a deck", "structure my talk", "make a pitch deck", "data visualization for slides", or any request involving slide layout, storytelling frameworks (Pyramid Principle, Hero's Journey, Problem-Solution-Benefit), narrative arc, speaker notes, or chart selection for presentations. Covers slide structure, visual hierarchy, data-driven storytelling, and deck architecture from executive summaries to conference keynotes.