home / skills / davila7 / claude-code-templates / manim

This skill helps you create and explain mathematical animations with Manim Community, enabling programmatic visuals, LaTeX rendering, and educational video

npx playbooks add skill davila7/claude-code-templates --skill manim

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SKILL.md
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---
name: manim
description: Comprehensive guide for Manim Community - Python framework for creating mathematical animations and educational videos with programmatic control
version: 1.0.0
author: manim-community
repo: https://github.com/ManimCommunity/manim
license: MIT
tags: [Video, Python, Animation, Manim, Mathematical, Educational, Visualization, LaTeX, 3Blue1Brown]
dependencies: [manim>=0.19.0, python>=3.8]
---

# Manim Community - Mathematical Animation Engine

Comprehensive skill set for creating mathematical animations using Manim Community, a Python framework for creating explanatory math videos programmatically, popularized by 3Blue1Brown.

## When to use

Use this skill whenever you are dealing with Manim code to obtain domain-specific knowledge about:

- Creating mathematical animations and visualizations
- Building educational video content programmatically
- Working with geometric shapes and transformations
- Animating LaTeX equations and mathematical formulas
- Creating graphs, charts, and coordinate systems
- Implementing scene-based animation sequences
- Rendering high-quality mathematical diagrams
- Building explanatory visual content for teaching

## Core Concepts

Manim allows you to create animations using:
- **Scenes**: Canvas for your animations where you orchestrate mobjects
- **Mobjects**: Mathematical objects that can be displayed (shapes, text, equations)
- **Animations**: Transformations applied to mobjects (Write, Create, Transform, FadeIn)
- **Transforms**: Morphing between different states of mobjects
- **LaTeX Integration**: Native support for rendering mathematical notation
- **Python Simplicity**: Use Python to programmatically specify animation behavior

## Key Features

- Precise mathematical object positioning and transformations
- Native LaTeX rendering for equations and formulas
- Extensive shape library (circles, rectangles, arrows, polygons)
- Coordinate systems and function graphing
- Boolean operations on geometric shapes
- Camera controls and scene management
- High-quality video rendering
- IPython/Jupyter notebook integration
- VS Code extension with live preview

## How to use

Read individual rule files for detailed explanations and code examples:

### Core Concepts
- **[references/scenes.md](references/scenes.md)** - Creating scenes and organizing animations
- **[references/mobjects.md](references/mobjects.md)** - Understanding mathematical objects and shapes
- **[references/animations.md](references/animations.md)** - Core animation types and techniques
- **[references/latex.md](references/latex.md)** - Rendering LaTeX equations and formulas

For additional topics including transforms, timing, shapes, coordinate systems, 3D animations, camera movement, and advanced features, refer to the comprehensive [Manim Community documentation](https://docs.manim.community/).

## Quick Start Example

```python
from manim import *

class SquareToCircle(Scene):
    def construct(self):
        # Create a square
        square = Square()
        square.set_fill(BLUE, opacity=0.5)

        # Create a circle
        circle = Circle()
        circle.set_fill(RED, opacity=0.5)

        # Animate square creation
        self.play(Create(square))
        self.wait(1)

        # Transform square into circle
        self.play(Transform(square, circle))
        self.wait(1)

        # Fade out
        self.play(FadeOut(square))
```

Render with: `manim -pql script.py SquareToCircle`

## Best Practices

1. **Inherit from Scene** - All animations should be in a class inheriting from Scene
2. **Use construct() method** - Place all animation code inside the construct() method
3. **Think in layers** - Add mobjects to the scene before animating them
4. **Use self.play()** - Animate mobjects using self.play(Animation(...))
5. **Test with low quality** - Use `-ql` flag for faster preview renders
6. **Leverage LaTeX** - Use Tex() and MathTex() for mathematical notation
7. **Group related objects** - Use VGroup to manage multiple mobjects together
8. **Preview frequently** - Use `-p` flag to automatically open rendered videos

## Command Line Usage

```bash
# Preview at low quality (fast)
manim -pql script.py SceneName

# Render at high quality
manim -pqh script.py SceneName

# Save last frame as image
manim -s script.py SceneName

# Render multiple scenes
manim script.py Scene1 Scene2
```

## Resources

- **Documentation**: https://docs.manim.community/
- **Repository**: https://github.com/ManimCommunity/manim
- **Examples Gallery**: https://docs.manim.community/en/stable/examples.html
- **Discord Community**: https://www.manim.community/discord/
- **3Blue1Brown Channel**: https://www.youtube.com/c/3blue1brown
- **License**: MIT

Overview

This skill is a comprehensive guide to Manim Community, the Python framework for programmatic creation of mathematical animations and educational videos. It explains core concepts, common workflows, and practical commands to write, preview, and render high-quality explanatory animations. The guide focuses on actionable patterns for scenes, mobjects, animations, and LaTeX integration.

How this skill works

The skill inspects how Manim composes animations from Scenes, Mobjects, and Animations, and shows how to orchestrate those elements in the construct() method of a Scene subclass. It covers rendering options, camera controls, and LaTeX-based typesetting for math notation. Example snippets illustrate creating shapes, transforming objects, and rendering previews with manim CLI flags.

When to use it

  • When creating programmatic math visualizations or explainer videos
  • When animating LaTeX equations, graphs, or geometric constructions
  • When building step-by-step instructional content for education
  • When prototyping animation sequences and camera movements
  • When integrating Manim into notebooks, CI pipelines, or VS Code previews

Best practices

  • Inherit from Scene and put animation logic inside construct() for clarity
  • Use self.play() with built-in animations (Create, Transform, FadeIn) to keep timing consistent
  • Test with low-quality preview (-ql) for fast iteration, then render high quality for final output
  • Group related mobjects with VGroup to manage transforms and positioning
  • Prefer Tex()/MathTex() for mathematical notation to ensure crisp LaTeX rendering

Example use cases

  • Animate a geometric proof by sequencing constructions and transforms
  • Create short explainer clips of calculus concepts with function graphs and annotations
  • Produce stepwise derivations of formulas using MathTex transitions
  • Render high-resolution diagrams for lectures or video lessons
  • Integrate Manim scenes into Jupyter notebooks for interactive demos

FAQ

How do I preview animations quickly?

Use manim -pql script.py SceneName to render a low-quality preview fast; add -p to open the video automatically.

Where should I put animation code?

Define a class inheriting from Scene and implement all animation steps in the construct() method for predictable behavior.

How do I include LaTeX in animations?

Use Tex() or MathTex() to render LaTeX expressions as mobjects; they integrate natively and support complex formulas.