paper-figure

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

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/tqLi99/academic-paper-skills --skill paper-figure-tqli99
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-figure
Source: https://github.com/tqLi99/academic-paper-skills/tree/main/skills/paper-figure
Command: npx skills add https://github.com/tqLi99/academic-paper-skills --skill paper-figure-tqli99

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate publication-quality figures and tables from experiment results, reducing manual plotting toil and ensuring consistent visuals for papers.

Core Features & Use Cases

  • Data-driven plots: line, bar, scatter, heatmaps, and multi-panel figures.
  • Comparison tables and LaTeX-ready snippets for methods and baselines.
  • Automatic figure quality scaffolding, style consistency, and export to vector formats.
  • Note: Architecture/pipeline diagrams are manual; this skill can provide rough TikZ skeletons but final diagrams should be created with external tools.

Quick Start

Provide your experiment data and run the figure generation pipeline to produce all publication-ready figures.

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 CSV or JSON data?

To generate publication-ready figures from CSV or JSON data, provide your experiment results to the plotting pipeline to automatically produce line plots, bar charts, scatter plots, and heatmaps exported as vector graphics.

Can I create LaTeX tables and captions directly from experimental results?

Yes, you can create LaTeX tables and captions directly from experimental results by processing your data through the deterministic workflow to output LaTeX-ready snippets for comparison tables and scientific paper figure captions.

What is the best way to build multi-panel figures for a scientific paper?

The best way to build multi-panel figures for a scientific paper is using a data-driven plotting pipeline that ensures style consistency and scaffolding, reading standard input formats to output publication-quality vector graphics.

Does this approach work for generating architecture pipeline diagrams automatically?

No, this approach does not work for generating architecture pipeline diagrams automatically, as pipeline diagrams are manual; it can only provide rough TikZ skeletons, requiring external tools for final architecture diagrams.

How do I ensure style consistency across multiple plots for publication?

To ensure style consistency across multiple plots for publication, use an automated figure quality scaffolding workflow that applies uniform styling across all data-driven charts and exports them to vector formats.