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academic-plotting

Generate publication-quality figures for machine learning papers using matplotlib and seaborn.

5|Updated Jun 7, 2026
Search Tags:#data visualization#machine learning#diagram generation#figure generation#ML papers
One-click install
npx skills add https://github.com/TTAWDTT/elegant-researcher-skill --skill academic-plotting-ttawdtt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: academic-plotting
Source: https://github.com/TTAWDTT/elegant-researcher-skill/tree/main/skills/academic-plotting
Command: npx skills add https://github.com/TTAWDTT/elegant-researcher-skill --skill academic-plotting-ttawdtt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib>=3.8.0, seaborn>=0.13.0, numpy, google-genai>=1.0.0, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation of publication-quality figures for machine learning research papers, eliminating the need for manual design and data visualization.

Core Features & Use Cases

  • Automatic Diagram Generation: Create complex diagrams using AI image generation and data-driven figures with matplotlib and seaborn.
  • Style Customization: Choose from various visual styles like hand-drawn sketches, modern minimal, or illustrated technical to match your paper's tone.
  • Data Visualization: Generate line plots, bar charts, scatter plots, heatmaps, and more with built-in tools.
  • Use Case: When writing a machine learning paper and need to visualize a complex architecture or present experimental results, this skill automates the creation of high-quality figures to support your analysis.

Quick Start

Use the academic-plotting skill to generate an architecture diagram for a neural network with the following description: "A neural network with three layers: an input layer with 10 neurons, a hidden layer with 20 neurons, and an output layer with 1 neuron."

Frequently Asked Questions about academic-plotting

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

FAQPage Schema
How do I generate publication-quality figures for machine learning papers?▼

To generate publication-quality figures for machine learning papers, this skill automates the creation of architecture diagrams via AI image generation and data-driven plots using matplotlib and seaborn. It provides built-in tools for line plots, bar charts, scatter plots, and heatmaps.

Can I visualize neural network architecture diagrams without manual design?▼

You can visualize neural network architecture diagrams without manual design by providing a text description to the automatic diagram generation feature. The skill leverages AI image generation to create complex visual representations based on your specified layer configurations.

What visual styles are available for ML paper data visualization?▼

Available visual styles for ML paper data visualization include hand-drawn sketches, modern minimal, and illustrated technical styles. These options allow you to customize the generated figures to match the specific tone and aesthetic of your research paper.

Do I need matplotlib and seaborn installed to create academic plots?▼

Yes, you need matplotlib, seaborn, numpy, and google-genai installed in your environment to create academic plots. These dependencies are required to support the underlying data visualization tools and AI image generation capabilities.

What's the best way to create heatmaps and scatter plots from experimental data?▼

The best way to create heatmaps and scatter plots from experimental data is using the built-in data visualization tools powered by seaborn and matplotlib. This skill streamlines the process by directly translating your research data into publication-ready charts.

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