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ggterm
ggterm contient 8 skills collectées depuis shandley, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Load data from files (CSV, JSON, JSONL, Parquet) or stdin for analysis and visualization with ggterm. Use when reading datasets, importing data, opening files, or when the user mentions loading, reading, or opening data.
Customize plot aesthetics using natural language. Use when the user wants to change colors, fonts, titles, labels, themes, or any visual aspect of a plot before publication.
Quick reference for ggterm capabilities. Use when the user asks what they can do, what commands are available, what plot types exist, how to use ggterm, or asks for help.
Search and retrieve plots from history. Use when the user asks about previous plots, wants to find a plot they made earlier, re-display a past visualization, or export a historical plot.
Generate markdown reports with embedded ggterm visualizations. Use when creating analysis reports, documenting results, exporting findings, or when the user wants plots in markdown format for sharing or documentation.
Create terminal data visualizations using Grammar of Graphics. Use when plotting data, creating charts, graphing, visualizing distributions, or when the user mentions plot, chart, graph, histogram, scatter, boxplot, or visualize.
Export terminal plots to publication-quality formats (PNG, SVG, PDF, HTML). Use when the user wants to save, export, publish, or create a high-quality version of a plot.
Apply publication-quality style presets to plots. Use when the user wants to style a plot like Wilke, Tufte, Nature, The Economist, or apply minimal/publication styling.