Create multi-panel charts from experiment metrics with matplotlib, plotly, or altair.
npx skills add https://github.com/osolmaz/tools --skill plot-graph
Please help me install this Agent Skill. Skill: plot-graph Source: https://github.com/osolmaz/tools/tree/main/agents/skills/plot-graph Command: npx skills add https://github.com/osolmaz/tools --skill plot-graph
Plot Graph automates the creation of polished charts from experiment metrics, saving time and ensuring consistency across figures for reports and blogs.
Render a multi-model chart from the provided metrics file.
High-intent search queries and answers about installing and using this skill.
You can create publication-ready multi-panel charts by providing experiment metrics to Plot Graph, which automates layout, labeling, and background customization to ensure consistent styling across all panels for reports and blogs.
Yes, Plot Graph supports direct SVG and PNG export using real plotting libraries like matplotlib, plotly, and altair to generate high-quality visuals suitable for publication.
Plot Graph works with matplotlib, plotly, and altair to produce data visualization outputs, focusing on multi-panel comparisons and dashboards to clearly communicate model performance.
The best way to generate consistent multi-panel dashboards is using Plot Graph, which automates chart creation from metrics to ensure uniform styling, clear labels, and professional captions across all comparison panels.
You need to provide a metrics file containing your experiment data to render a multi-model chart, as the Skill automates the visualization process directly from the provided metrics input.
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