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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | ggterm-history |
| description | 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. |
| allowed-tools | Bash(npx:ggterm-plot*), Read |
Search, retrieve, and export plots from the persistent history.
npx ggterm-plot history
npx ggterm-plot history <search-term>
npx ggterm-plot show <plot-id>
npx ggterm-plot export <plot-id> [output.html]
| User Request | Command |
|---|---|
| "What plots have I made?" | history |
| "Show me my scatter plots" | history scatter |
| "Find the plot with sales data" | history sales |
| "Display plot 2024-01-26-001" | show 2024-01-26-001 |
| "Export the iris plot" | history iris → export <id> iris-plot.html |
IDs follow the pattern: YYYY-MM-DD-NNN
$ARGUMENTS
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.
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.