paper-figure

To generate publication-quality figures from experiment results, the Skill automates data parsing and plot styling to create line plots, bar charts, scatter plots, and heatmaps. It orchestrates data extraction and applies styling rules for direct manuscript integration.

Yes, you can create LaTeX comparison tables from experiment data. The Skill generates LaTeX snippets by parsing experimental results, allowing you to compare methods or outcomes seamlessly within your research papers.

You can combine multiple plots into a single multi-panel figure by defining a figure plan in your PAPER_PLAN.md file. The Skill parses this plan to orchestrate the arrangement of various data-driven plots into one unified publication-quality output.

Supported matplotlib plot types for publication figures include line plots, bar charts, scatter plots, heatmaps, and box plots. The Skill automates the styling of these plots to meet publication standards from raw experiment logs.

Yes, the paper-figure Skill operates without external dependencies. It uses internal scripts and references to automate the generation of plots and LaTeX tables, streamlining the manuscript preparation process independently.

The best way to automate ML paper figure generation is to define a figure plan in PAPER_PLAN.md. The Skill then automatically reads this plan and your experiment logs to generate all required data plots and LaTeX comparison tables.