Skill

Generate Publication-Quality Visualizations with Matplotlib

Matplotlib skill provides guidance on Python's foundational visualization library for creating static, animated, and interactive plots with pyplot

Works with matplotlib

53
Spark score
out of 100
Updated 2 days ago
Source checked Sep 18, 2026
Version 17.4.0

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Why it matters

Leverage Matplotlib to create static, animated, and interactive plots for data visualization and scientific communication. This skill guides you through generating publication-quality charts and figures.

Outcomes

What it gets done

01

Create diverse plot types (line, scatter, bar, heatmap, 3D, etc.)

02

Customize plot aesthetics, labels, and legends

03

Generate multi-panel figures and complex layouts

04

Export visualizations to various formats (PNG, PDF, SVG)

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-matplotlib | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Matplotlib

This skill provides guidance on matplotlib, Python's foundational visualization library. It covers both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes) for creating static, animated, and interactive plots with publication-quality standards. Use this skill when you need guidance on matplotlib, Python's foundational visualization library, covering both the pyplot interface and the object-oriented API for creating static, animated, and interactive plots with best practices for publication-quality visualizations.

What it does

This skill delivers expert guidance on matplotlib, Python's foundational visualization library. It covers both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes) for creating static, animated, and interactive plots, along with best practices for publication-quality visualizations.

When to use - and when NOT to

Use this skill when you need guidance on matplotlib, Python's foundational visualization library, covering both the pyplot interface and the object-oriented API approach.

Inputs and outputs

This skill provides guidance on using matplotlib effectively, covering both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes), along with best practices for creating publication-quality visualizations.

Who it's for

This skill is for anyone seeking guidance on using matplotlib, Python's foundational visualization library.

Source README

Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. This skill provides guidance on using matplotlib effectively, covering both the pyplot interface (MATLAB-style) and the object-oriented API (Figure/Axes), along with best practices for creating publication-quality visualizations.

FAQ

Common questions

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