Which libraries are required for this skill?

This skill primarily utilizes matplotlib and the tueplots library to manage styling and rendering configurations.

What styling does the plotting skill use?

It uses the tueplots TMLR 2023 bundle to ensure plots meet scientific publication standards automatically.

Does this skill support LaTeX in labels?

Yes, the skill configures matplotlib to use LaTeX for rendering mathematical formulas and text labels using the text.usetex parameter.

What is the recommended file format for saving plots?

The skill is optimized for saving plots as PDF files with the bbox_inches='tight' parameter to ensure high resolution and correct margins for papers.

Why does the skill default to no titles on plots?

Scientific publications typically use figure captions in the document text rather than internal plot titles, so this skill follows that professional standard.

Scientific Publication Plotting

Name: Scientific Publication Plotting
Author: yallup

byyallup

•

Data Science & ML

Generates publication-quality scientific visualizations using TMLR styling and LaTeX rendering for research and academic reports.

This skill streamlines the creation of professional scientific figures by automating the configuration of Matplotlib with TMLR (Transactions on Machine Learning Research) 2023 styling. It ensures all plots are formatted for high-impact academic journals, featuring LaTeX-rendered mathematical formulas, specific bounding box optimizations for PDF export, and standardized aesthetic defaults that eliminate the need for manual theme tweaking. By enforcing best practices like removing internal titles in favor of external captions, it helps researchers produce consistent, submission-ready graphics efficiently.

Key Features

01TMLR 2023 styling via tueplots integration

02Native LaTeX rendering for mathematical formulas

03Optimized PDF export with tight bounding boxes

04Standardized scientific plot aesthetics without titles

05Automated matplotlib configuration for publication quality

061 GitHub stars

Use Cases

01Generating figures for academic journals and machine learning conferences

02Creating consistent visualizations for technical research papers

03Converting raw data into publication-ready PDF plots

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yallup/claude-skills plotting

For use in Claude.ai and ChatGPT

Download Skill