Generate publication-quality vector PDF figures and LaTeX tables from experiment data.
npx skills add https://github.com/Mang30/myskills --skill paper-figure-mang30
Please help me install this Agent Skill. Skill: paper-figure Source: https://github.com/Mang30/myskills/tree/main/skills/paper-figure Command: npx skills add https://github.com/Mang30/myskills --skill paper-figure-mang30
It eliminates the manual, error-prone work of converting experiment outputs into consistent, publication-ready figures and tables for a paper.
Generate paper figures from your figure plan by running the paper-figure skill with your figure plan file or data path as the single argument.
High-intent search queries and answers about installing and using this skill.
To generate publication-quality figures from CSV experiment logs, this Skill processes your data to create vector PDFs, line plots, and heatmaps. It outputs one generation script per figure into a figures directory, ensuring reproducible plots for your research paper.
The best way to convert ML experiment results into LaTeX tables is using a generation skill that parses your JSON or screen logs. It produces LaTeX comparison tables for ablations and baselines, plus a consolidated latex_includes.tex file with includegraphics snippets.
Yes, you can keep manually created hero figures while auto-generating other plots. This Skill detects existing manually created figures and preserves them, generating only the data-driven plots specified in your figure plan.
To ensure consistent styling across multi-panel figures, this Skill applies a configurable publication style with standardized DPI, fonts, and color palettes. It generates vector PDFs and multi-panel layouts for multi-dataset and multi-metric comparisons.
Yes, you need a PAPER_PLAN.md figure plan file to automate paper figure generation. This plan guides the Skill to produce the correct data-driven plots, comparison tables, and LaTeX include snippets based on your available experiment data.
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