paper-figure

Generate publication-quality figures and LaTeX-ready tables from experimental data.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/THUFanZd/Sewed_pipeline --skill paper-figure-thufanzd
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-figure
Source: https://github.com/THUFanZd/Sewed_pipeline/tree/main/.agents/skills/paper-figure
Command: npx skills add https://github.com/THUFanZd/Sewed_pipeline --skill paper-figure-thufanzd

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate publication-quality figures and tables automatically from experimental results, saving researchers time in manuscript preparation.

Core Features & Use Cases

  • Data-driven figures: line plots, bar charts, scatter plots, heatmaps, and box/violin plots from experiment results.
  • Multi-panel and LaTeX-ready outputs: composite figures and tables formatted for inclusion in papers with vector PDF outputs.
  • Workflow automation: preserves existing figures, integrates with a figure plan (PAPER_PLAN.md) and data files to produce publication-ready visuals.

Quick Start

Generate publication-quality figures from your experimental results by providing the data files and a figure plan.

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-quality figures from experimental data automatically?

You can generate publication-quality figures automatically by providing experimental data files and a figure plan. The system reads inputs and outputs vector PDFs for research papers, creating data-driven plots like line, bar, scatter, and heatmap visualizations.

Can I create LaTeX-ready tables and multi-panel figures for a research paper in one step?

Yes, you can create LaTeX-ready tables and multi-panel composite figures in one step. The tool formats experimental results into publication-ready visuals and tables, outputting vector PDFs directly to your figures directory for manuscript inclusion.

How does automated data visualization handle existing plots when regenerating figures?

Automated data visualization preserves existing figures when regenerating new plots. It integrates with your figure plan and data files to produce publication-ready visuals, ensuring previously generated diagrams are not overwritten during the workflow automation.

What do I need to start automating research plots and data visualization outputs?

To start automating research plots, you need experimental data files and a figure plan. The workflow reads these inputs to produce data-driven figures like scatter plots and heatmaps, outputting vector PDFs formatted for publication.

Are manually drawn diagrams supported for publication-ready figure generation?

Manual diagrams are handled externally and are not directly generated by the automated figure workflow. The tool focuses on data-driven plots and LaTeX-ready tables from experimental results, while optional manual diagrams must be managed outside the system.

What is the best way to automate multi-panel figure generation for LaTeX publications?

The best way to automate multi-panel figure generation for LaTeX publications is using a data-driven workflow that reads experimental results and a figure plan. This process outputs vector PDFs and formatted tables, streamlining manuscript preparation.