academic-plotting

Name: academic-plotting
Availability: InStock
Author: OpenCoven

Generate publication-quality figures for machine learning research papers.

20|25|Updated May 30, 2026

Search Tags:#data visualization #plotting #diagram #figure generation #ML paper

Ready to run

npx skills add https://github.com/OpenCoven/coven-cave --skill academic-plotting-opencoven

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: academic-plotting
Source: https://github.com/OpenCoven/coven-cave/tree/main/marketplace/craft-sources/scribes-quill/academic-plotting
Command: npx skills add https://github.com/OpenCoven/coven-cave --skill academic-plotting-opencoven

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 simplifies the creation of publication-quality figures for machine learning research papers, streamlining the process of diagramming and visualizing data.

Core Features & Use Cases

Diagram Generation: Automatically create diagrams for system architecture using AI-powered tools.
Data Visualization: Generate line charts, bar charts, scatter plots, and heatmaps from experiment results.
Use Case: Generate an architecture diagram for a machine learning system and a bar chart comparing different model performance metrics.

Quick Start

To create an architecture diagram for a paper, run 'academic-plotting diagram --prompt "Generate an architecture diagram for the machine learning system in the paper. Include components and connections."'

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?▼

To generate publication-quality figures for ML papers, you can use plotting workflows that create data-driven charts using matplotlib and seaborn or architecture diagrams using Gemini.

How do I create an architecture diagram for a machine learning system?▼

To create an architecture diagram for a machine learning system, run the diagram generation workflow with a prompt specifying your components and connections to produce the visual output.

Does this plotting tool work with matplotlib and seaborn for data visualization?▼

Yes, the data visualization workflow works with matplotlib and seaborn to generate line charts, bar charts, scatter plots, and heatmaps from your experiment results.

Can I use numpy data arrays to plot experiment results?▼

Yes, you can use numpy arrays to plot experiment results, as numpy is a required dependency for the data-driven chart generation process.

What's the best way to visualize model performance metrics for academic writing?▼

The best way to visualize model performance metrics for academic writing is using the data visualization workflow to create bar charts comparing different model outputs directly.

Do I need google-genai to generate ML paper diagrams?▼

Yes, you need the google-genai dependency because it powers the AI-driven architecture diagram generation workflow required for creating system visualizations.