paper-figure

Generate publication-ready figures and LaTeX tables from JSON/CSV data.

1|Updated Mar 26, 2026

Search Tags:#automation #latex #data-visualization #publication #multi-panel #paper-writing #figure-generation

Ready to run

npx skills add https://github.com/Lingrongye/federated-learning --skill paper-figure-lingrongye

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paper-figure
Source: https://github.com/Lingrongye/federated-learning/tree/main/Auto-claude-code-research-in-sleep/skills/paper-figure
Command: npx skills add https://github.com/Lingrongye/federated-learning --skill paper-figure-lingrongye

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the generation of publication-quality figures and tables from experiment results, reducing manual plotting time and ensuring consistent styling for papers and presentations.

Core Features & Use Cases

Data-driven plots: line plots, bar charts, scatter plots, and heatmaps generated from results data.
Multi-panel figures: combine related plots into subfigures for concise presentation.
LaTeX-ready tables: generate high-quality comparison tables in LaTeX format for papers.
Publication-style styling: consistent serif fonts, vector graphics, and print-ready quality.

Quick Start

Provide experiment results in a parseable format and run the figure-generation script to produce figures in the figures/ directory.

Frequently Asked Questions about paper-figure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate publication-ready figures from experimental results?▼

This skill automates the generation of publication-ready figures from experimental results in JSON or CSV format. It applies consistent serif fonts and styling to produce vector graphics in PDF for academic papers and presentations.

Can I create LaTeX-ready tables from CSV data for paper writing?▼

Yes, you can generate LaTeX-ready tables from JSON or CSV data sources. The skill parses experimental results to output high-quality comparison tables formatted for direct inclusion in LaTeX papers and posters.

What is the best way to automate multi-panel figure generation for a research paper?▼

Automating multi-panel figure generation involves using a plotting library with style configuration to combine related plots into subfigures. This ensures concise presentation and consistent publication-quality styling across all panels.

Does this figure generation approach support both posters and academic presentations?▼

Yes, publication-ready figure generation supports papers, posters, and presentations. It uses data parsers and style configuration to produce print-ready vector graphics in PDF, ensuring consistent visual quality across all academic outputs.

What data formats are supported for generating publication-quality data visualizations?▼

Supported data formats for generating publication-quality data visualizations include JSON and CSV. Data parsers process these experiment results to produce line plots, bar charts, scatter plots, and heatmaps in vector graphics.