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academic-plotting

Generate publication-quality diagrams and data figures for machine learning research papers.

6|3|Updated Jan 29, 2026
Search Tags:#data visualization#machine learning#ml papers#figure generation#diagram creation
One-click install
npx skills add https://github.com/jonnabio/ace-framework --skill academic-plotting-jonnabio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: academic-plotting
Source: https://github.com/jonnabio/ace-framework/tree/main/.ace/packs/ai-research/academic-plotting
Command: npx skills add https://github.com/jonnabio/ace-framework --skill academic-plotting-jonnabio

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the generation of publication-quality figures for machine learning papers, streamlining the visualization process and saving time.

Core Features & Use Cases

  • Automated Diagram Generation: Generate system and architecture diagrams from research context descriptions using Gemini.
  • Data Visualization: Automatically select chart types and generate data-driven figures using matplotlib and seaborn.
  • Use Case: When you need to create figures for your conference paper, this Skill can extract system components and relationships for diagrams and analyze data for charts.

Quick Start

To generate a diagram for your research context, use the command: generate-diagram --context "System description here" --style "Modern Minimal" --palette "Ocean Dusk"

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 ML papers automatically?▼

To generate publication-quality figures for ML papers, this Skill extracts system components and relationships using Gemini to create diagrams, and auto-selects chart types to render data-driven figures via matplotlib and seaborn.

Can I create system architecture diagrams from text descriptions for my research paper?▼

Yes, you can create system architecture diagrams by providing a text description of your research context. The Skill uses Gemini to extract components and relationships, then generates diagrams with customizable styles and color palettes.

How does auto-selecting chart types work for data visualization in machine learning papers?▼

Auto-selecting chart types for data visualization works by analyzing your provided data structures. The Skill then uses matplotlib and seaborn to automatically determine and render the most appropriate data-driven figures for your ML research context.

Do I need matplotlib and seaborn installed to use this figure generation tool?▼

Yes, you need matplotlib and seaborn installed, along with numpy and google-genai. These dependencies are required for the tool to handle image generation, data analysis, and visualization tasks.

What's the best way to customize diagram styles for machine learning research papers?▼

The best way to customize diagram styles is by using command line flags during generation. You can specify visual parameters like `--style "Modern Minimal"` and `--palette "Ocean Dusk"` when providing your system context.

Why use an automated plotting tool instead of manually creating diagrams in matplotlib?▼

Using an automated plotting tool streamlines the visualization process by eliminating manual chart configuration. It uses Gemini to instantly extract system components for diagrams and auto-selects matplotlib and seaborn chart types, saving significant time.

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