Paper Plot Skills
A toolkit of AI skills that reproduce academic paper chart styles, either filling a chosen style with your own data or analyzing a screenshot of a published figure to regenerate it as a matplotlib script.
Paper Plot Skills is a toolkit of AI skills for reproducing and generating the chart styles seen in academic papers. It distills style parameters, such as bar and line treatments, fonts, and annotation conventions, from figures the author selected from papers they read, covering paired and grouped bar charts, line charts with confidence bands or training curves, scatter plots, and radar charts.
One skill fills a chosen preset style with the user's own data to produce a chart at publication resolution. A second skill takes a screenshot of a published figure, analyzes its proportions, fonts, and colors, and reproduces it as a matplotlib script.
The set of styles grows as the author reproduces more figures, and each style's parameters and generating script are kept alongside it for reuse. It is written in Python.