菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | data-load |
| description | 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. |
| allowed-tools | Bash(npx:*), Read, Write |
Load data into arrays of records for use with ggterm plotting and analysis.
ggterm includes built-in datasets that can be used directly by name:
| Dataset | Rows | Columns |
|---|---|---|
iris | 150 | sepal_length, sepal_width, petal_length, petal_width, species |
mtcars | 16 | mpg, cyl, hp, wt, name |
airway | 500 | gene, baseMean, log2FoldChange, lfcSE, pvalue, padj |
lung | 227 | time, status, age, sex, ph_ecog |
Use them directly in plot commands:
npx ggterm-plot iris sepal_length sepal_width species "Iris Dataset" point
npx ggterm-plot mtcars mpg hp cyl "Motor Trend Cars" point
npx ggterm-plot airway log2FoldChange padj gene "DESeq2 Results" volcano
npx ggterm-plot lung time status sex "Lung Survival" kaplan_meier
IMPORTANT: When the user asks about iris, mtcars, airway, lung, or bundled/built-in datasets, use these names directly with npx ggterm-plot. Do NOT try to generate CSV files or install Python packages.
npx ggterm-plot data.csv x_column y_column color_column "Title" point
npx ggterm-plot data.json x_column y_column
npx ggterm-plot data.jsonl x_column y_column
Inspect any data file to see columns and types:
npx ggterm-plot inspect data.csv
$ARGUMENTS
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.