matplotlib-pro

matplotlib-pro is a skill for Claude Code, Codex from tondevrel/scientific-agent-skills. It costs 41 tokens per session (1,068 once invoked), scanned A, original, MIT.

An advanced guide to Matplotlib, a Python library for making charts and scientific figures. It covers fast animations, multi-panel layouts, interactive controls, and typography suitable for academic publications.

In plain words
What is it for?
Use it to animate simulations or sensor data, build interactive chart tools, arrange several plots, and create publication-ready PNG, PDF, or LaTeX figures.
Why use it?
It helps when ordinary chart commands are not enough to control a complex figure or keep an animation responsive. It also addresses output formats used in papers and real-time displays.

Skill for Claude CodeCodex

Part of the scientific-agent-skills plugin — 55 skills, 2 commands, 1 MCP server shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/tondevrel/scientific-agent-skills/matplotlib-pro
Any agent
npx skills add tondevrel/scientific-agent-skills --skill matplotlib-pro
Clone the repo
git clone --depth 1 https://github.com/tondevrel/scientific-agent-skills

Made for: Claude Code, Codex.

Or install scientific-agent-skills, the plugin that ships this one along with the rest of its 55 skills, 2 commands, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for matplotlib-pro

README.md
[![agentmods](https://agentmods.dev/badge/skills/tondevrel/scientific-agent-skills/matplotlib-pro.svg)](https://agentmods.dev/skills/tondevrel/scientific-agent-skills/matplotlib-pro)
Your own site
<a href="https://agentmods.dev/skills/tondevrel/scientific-agent-skills/matplotlib-pro"><img src="https://agentmods.dev/badge/skills/tondevrel/scientific-agent-skills/matplotlib-pro.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,068 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00041 $0.01068
Opus 5 $0.00020 $0.00534
Sonnet 5 $0.00008 $0.00214
Haiku 4.5 $0.00004 $0.00107

Measured 4d ago against content hash 395c2ed37282, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

matplotlib-pro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/matplotlib-pro/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Matplotlib - Professional Viz & Animation

Beyond static plots, Matplotlib is a powerful engine for dynamic data visualization and scientific storytelling. This guide focuses on the "Pro" features: blitting for speed, Artist hierarchy for control, and LaTeX integration for papers.

When to Use

  • Creating high-FPS animations for simulations (Fluid dynamics, N-body).
  • Building custom interactive tools inside Jupyter or a GUI.
  • Generating pixel-perfect figures for academic journals.
  • Visualizing real-time data streams from sensors.

Core Principles

1. The Artist Hierarchy

Everything you see is an Artist. Figures contain Axes, Axes contain Lines, Text, Patches. Pro-level control means manipulating these objects directly instead of using high-level plt commands.

2. Blitting (The Secret to Speed)

Standard animation redraws the whole figure every frame (slow). Blitting only redraws the parts that changed (e.g., the moving line), while keeping the axes and labels cached as a background image.

3. Backend Mastery

  • Agg: High-quality static PNGs.
  • PDF/PGF: Vector-based for LaTeX.
  • TkAgg/QtAgg: Interactive windows.

High-Performance Animation

Using FuncAnimation with Blitting

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

fig, ax = plt.subplots()
line, = ax.plot([], [], lw=2) # Returns the Line2D artist

def init():
    ax.set_xlim(0, 2*np.pi)
    ax.set_ylim(-1, 1)
    return line, # Note the comma

def update(frame):
    x = np.linspace(0, 2*np.pi, 100)
    y = np.sin(x + frame/10.0)
    line.set_data(x, y)
    return line,

# blit=True is critical for performance
ani = FuncAnimation(fig, update, frames=100, init_func=init, blit=True)
plt.show()

Publication Standards

1. LaTeX & PGF Backend (For Papers)

import matplotlib as mpl

mpl.use("pgf") # Use PGF for perfect LaTeX integration
mpl.rcParams.update({
    "pgf.texsystem": "pdflatex",
    "font.family": "serif",
    "text.usetex": True,
    "pgf.rcfonts": False,
})

fig.savefig("figure.pgf") # Import this directly into your LaTeX doc

Read the full file on GitHub · 130 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 130 lines · 41 tokens per session scan A 395c2ed37282

Subscribe to this mod's changes

matplotlib-pro is a skill published in the GitHub repository tondevrel/scientific-agent-skills (19 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 1,068 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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