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paper-figure

Generate publication-quality figures and LaTeX tables from experiment data.

Updated May 20, 2026
Search Tags:#data visualization#matplotlib#experiment results#paper figures#latex tables#publication style
One-click install
npx skills add https://github.com/lightrain-a/medtrace-aris --skill paper-figure-lightrain-a
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-figure
Source: https://github.com/lightrain-a/medtrace-aris/tree/main/.vendor/aris/skills/paper-figure
Command: npx skills add https://github.com/lightrain-a/medtrace-aris --skill paper-figure-lightrain-a

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate publication-quality figures and tables from experiment results so you can spend less time formatting plots manually and more time writing the paper.

Core Features & Use Cases

  • Data-driven figure generation: Produce line plots, scatter plots, heatmaps, bar charts, and box/violin plots from experiment data.
  • Paper-ready comparison tables: Generate LaTeX tables for prior-work or method comparisons (including theory-style bounds tables).
  • Multi-panel figure creation: Combine multiple subplots into grid-style figures suitable for papers.

Quick Start

Use the paper-figure skill to create all figures and LaTeX include snippets for your paper from PAPER_PLAN.md and the experiment data you have saved under figures/ or the project root.

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 experiment data for a research paper?▼

Generate publication-quality figures by reading JSON or CSV experiment data and applying matplotlib scripts with consistent DPI, PDF output, and font rules to produce paper-ready plots for academic writing.

Can I create LaTeX tables for method comparisons from CSV data automatically?▼

Create LaTeX tables for method comparisons by processing CSV or JSON experiment results to output publication-style tables formatted with LaTeX include snippets for direct paper integration.

What's the best way to build multi-panel figures for a paper from multiple subplots?▼

Build multi-panel figures by combining multiple subplots into grid-style layouts using matplotlib, driven by a PAPER_PLAN.md figure plan to ensure consistent publication style across all panels.

Do I need a PAPER_PLAN.md file to automate paper figure generation?▼

A PAPER_PLAN.md figure plan is required to drive reproducible per-figure script generation, ensuring the output plots and LaTeX snippets match your intended paper structure and available data.

How does reproducible figure script generation work for academic writing revision cycles?▼

Reproducible figure script generation works by reading available experiment data and creating per-figure scripts that consistently apply publication style rules, allowing plots to be regenerated during paper revision cycles.

What types of data visualization plots can I produce for experiment results?▼

Produce line plots, scatter plots, heatmaps, bar charts, and box or violin plots from experiment data, all formatted with publication-ready style rules for direct inclusion in academic papers.

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