figure-polish

Classify, style, inspect, and export scientific figures with Matplotlib.

Updated Apr 16, 2026

Search Tags:#style #visualization #inspection #publication #figure

Ready to run

npx skills add https://github.com/yu13130122297/helloCat --skill figure-polish-yu13130122297

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: figure-polish
Source: https://github.com/yu13130122297/helloCat/tree/main/src/skills/figure-polish
Command: npx skills add https://github.com/yu13130122297/helloCat --skill figure-polish-yu13130122297

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of creating, inspecting, and refining scientific figures to ensure high visual quality and clear communication, saving researchers time and effort.

Core Features & Use Cases

Figure Classification: Categorize figures into milestone, paper, appendix, or internal review types for appropriate styling.
Style Enforcement: Apply academic visual standards using predefined Matplotlib styles to produce consistent, publication-ready figures.
Draft Inspection & Revision: Generate initial figures, review the output visually, and make iterative improvements before finalizing.
Export & Recording: Save figures in vector and raster formats with metadata on source data, scripts, and purpose for reproducibility and durable referencing.

Quick Start

Generate a figure showing experimental results; review the saved output and adjust the plotting code as needed before final export.

Frequently Asked Questions about figure-polish

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

FAQPage Schema

How do I make Matplotlib figures ready for academic publication?▼

To make Matplotlib figures ready for academic publication, apply predefined academic visual standards to enforce consistent styling, then inspect the draft output and iteratively revise the plotting code before finalizing.

What is the best way to classify scientific figures for different review stages?▼

Classifying scientific figures involves categorizing them into milestone, paper, appendix, or internal review types, which ensures appropriate styling is applied to meet specific presentation and publication standards.

Do I need to know Matplotlib to refine scientific visualizations?▼

Yes, you need familiarity with Matplotlib and figure export procedures to operate this workflow, as it requires adjusting plotting code and reviewing the generated visual outputs iteratively.

How do I export figures with metadata for reproducible research?▼

Export figures with metadata for reproducible research by saving the final visualizations in both vector and raster formats while recording source data, scripts, and purpose for durable referencing.

Does the figure inspection workflow support iterative visual revisions?▼

Yes, the figure inspection workflow supports iterative visual revisions by generating an initial draft figure, reviewing the saved output visually, and making targeted improvements before final export.

What are the limitations of using predefined Matplotlib styles for scientific figures?▼

Predefined Matplotlib styles enforce consistent academic standards but require manual code adjustments for custom formatting, meaning users must iteratively inspect and revise outputs to meet specific publication requirements.