Ggterm Publish

Documents

ggterm-publish

Ggterm Publish is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

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.

View on GitHub ↗

QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

Open your project in Codex.
Copy and paste the prompt below.
Review files and risks before approving any action.

Prompt to paste

Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/data/ggterm-publish/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/ggterm-publish, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Publication Export with ggterm

Export terminal plots to publication-quality formats using Vega-Lite.

Prerequisites

The Vega-Lite CLI tools must be installed:

npm install -g vega-lite vega-cli canvas

How It Works

When a plot is created with the CLI, ggterm saves:

.ggterm/last-plot.json - The PlotSpec (ggterm format)
.ggterm/last-plot-vegalite.json - The Vega-Lite spec

Export Commands

To PNG (Raster)

npx vl2png .ggterm/last-plot-vegalite.json > plot.png

To SVG (Vector)

npx vl2svg .ggterm/last-plot-vegalite.json > plot.svg

To PDF

npx vl2pdf .ggterm/last-plot-vegalite.json > plot.pdf

To HTML (Interactive)

cat > plot.html << 'EOF'
<!DOCTYPE html>
<html>
<head>
  <script src="https://cdn.jsdelivr.net/npm/vega@5"></script>
  <script src="https://cdn.jsdelivr.net/npm/vega-lite@5"></script>
  <script src="https://cdn.jsdelivr.net/npm/vega-embed@6"></script>
</head>
<body>
  <div id="vis"></div>
  <script>
    const spec = SPEC_PLACEHOLDER;
    vegaEmbed('#vis', spec);
  </script>
</body>
</html>
EOF

# Replace placeholder with actual spec
bun -e "
const spec = require('./.ggterm/last-plot-vegalite.json');
const html = require('fs').readFileSync('plot.html', 'utf-8');
const result = html.replace('SPEC_PLACEHOLDER', JSON.stringify(spec, null, 2));
require('fs').writeFileSync('plot.html', result);
"

Custom Dimensions

To export with different dimensions, modify the Vega-Lite spec first:

bun -e "
const spec = require('./.ggterm/last-plot-vegalite.json');
spec.width = 800;
spec.height = 600;
require('fs').writeFileSync('.ggterm/last-plot-vegalite.json', JSON.stringify(spec, null, 2));
"
npx vl2png .ggterm/last-plot-vegalite.json > plot-large.png

Workflow

User creates a terminal plot using /ggterm-plot
User asks to export it for publication
This skill exports to the requested format

Troubleshooting

If vl2png/vl2svg fail, ensure dependencies are installed:

npm install -g vega-lite vega-cli canvas

On macOS, canvas may require additional setup:

brew install pkg-config cairo pango libpng jpeg giflib librsvg
npm install -g canvas --build-from-source

$ARGUMENTS