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paper-plot

Generate publication-quality figures from numeric data using Python scripts.

Updated May 24, 2026
Search Tags:#data visualization#publication quality#plot generation#research analysis#numeric data
One-click install
npx skills add https://github.com/leoplasture/STA304_Final_Project --skill paper-plot-leoplasture
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-plot
Source: https://github.com/leoplasture/STA304_Final_Project/tree/main/src/skills/paper-plot
Command: npx skills add https://github.com/leoplasture/STA304_Final_Project --skill paper-plot-leoplasture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, numpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill transforms numeric data into publication-quality figures, providing a standardized approach for visualizing results.

Core Features & Use Cases

  • Data to Figure: Converts structured numeric data into high-quality figures.
  • Styles: Offers a variety of pre-defined styles for different types of charts (bar, line, scatter, radar).
  • Customization: Allows users to customize figures according to their specific needs and preferences.

Quick Start

Use the paper-plot skill to generate a bar plot from the data in 'experiment_results.csv'.

Frequently Asked Questions about paper-plot

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

FAQPage Schema
How do I generate publication-quality figures from numeric data?▼

To generate publication-quality figures, you can use this Skill to execute Python scripts that transform structured numeric data into standardized, high-quality visualizations using predefined plotting styles.

Can I customize plot styles for different chart types like bar or scatter plots?▼

Yes, you can customize plot styles for various chart types including bar, line, scatter, and radar charts. The Skill offers predefined styles that can be tailored to fit your specific visualization preferences.

Does this data visualization tool work with CSV files for research analysis?▼

Yes, this data visualization tool works with structured numeric data such as CSV files. It processes your experimental results locally to produce figures suitable for scientific publication.

What is the best way to visualize experimental results for a publication?▼

The best way to visualize experimental results is by using predefined plotting styles that standardize your numeric data into publication-ready figures, ensuring your research analysis meets academic formatting requirements.

Do I need matplotlib and numpy installed to create plots?▼

Yes, you need matplotlib and numpy installed in your local environment. These dependencies are required to execute the Python scripts and generate the high-quality figures from your data.

Are there limitations on the types of numeric data I can plot?▼

The Skill is designed for structured numeric data. While it supports standard charts like bar, line, scatter, and radar plots, complex unstructured data may require preprocessing before plot generation.

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