academic-plotting

Name: academic-plotting
Availability: InStock
Author: KappTech88

Generate publication-quality ML figures from paper context using Gemini and matplotlib/seaborn.

Updated Mar 30, 2026

Search Tags:#gemini #matplotlib #seaborn #data-visualization #architecture-diagrams #ml-papers #figure-generation

Ready to run

npx skills add https://github.com/KappTech88/AI-RESEARCH-SKILLS-MCP --skill academic-plotting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: academic-plotting
Source: https://github.com/KappTech88/AI-RESEARCH-SKILLS-MCP/tree/main/skills/academic-plotting
Command: npx skills add https://github.com/KappTech88/AI-RESEARCH-SKILLS-MCP --skill academic-plotting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Generates publication-quality figures for ML papers by turning narrative context into visual assets, including architecture diagrams via Gemini and data figures via matplotlib/seaborn.

Core Features & Use Cases

Two distinct workflows:
- Diagram figures generated through Gemini for architecture, workflow, and system diagrams.
- Data figures created with matplotlib/seaborn for charts, ablations, and results.
Reusable templates and style guidance to produce consistent visuals across a paper.
Real-world example: convert a Methods section description into a ready-to-insert figure showing components and data flow.

Quick Start

Provide a Gemini-generated architecture diagram or a Matplotlib-based data figure from your paper context.

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 ML figures from paper context?▼

To generate publication-quality ML figures from paper context, provide your narrative text to create architecture diagrams via Gemini or data charts via matplotlib and seaborn. This converts your Methods section directly into ready-to-insert visual assets.

Can I create architecture diagrams for ML papers using Gemini?▼

Yes, you can create architecture diagrams for ML papers using Gemini. It processes your system design or workflow descriptions to generate visual diagrams showing components and data flow for your publication.

How do I plot ablation results and experiment data with matplotlib and seaborn?▼

You plot ablation results and experiment data with matplotlib and seaborn by supplying your paper's results context. The Skill uses this narrative to produce consistent data figures for charts and ablation tables.

What is the best way to maintain consistent visual style across ML paper figures?▼

The best way to maintain consistent visual style across ML paper figures is to apply reusable templates and style guidance. This ensures your architecture diagrams and data charts share a unified publication-ready appearance.

Do I need to install external dependencies to create data figures with seaborn?▼

No external dependencies are required to create data figures with seaborn. The Skill operates standalone using its internal logic to generate matplotlib and seaborn charts from your provided paper context.

Can academic-plotting convert a Methods section description into a ready-to-insert figure?▼

Yes, academic-plotting can convert a Methods section description into a ready-to-insert figure. It turns narrative context into visual assets, mapping your text into architecture or data figures for immediate publication use.