Manim Video
SkillMediaGenerate mathematical/explanatory animations with Manim (Python). Use for animated explainers, math visualizations, and step-by-step animations the user can render to MP4.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Manim Video skill
What this skill tells your AI
The instructions your AI receives, as published by metaspartan/cybara in skills/manim-video/SKILL.md and read by ahel’s review.
Manim is an animation engine (Python) for precise mathematical/explanatory videos. Write a scene, render it to MP4 with manim.
When to use
- "animate / make a video showing …"
- Math derivations, algorithm visualizations, geometric constructions.
- Step-by-step explainers.
Workflow
- Write a Python scene file using the Manim API. Save with the
writetool, e.g.scene.py. - Render:
manim -pql scene.py SceneName(low quality preview,-pplays after). Use-pqhfor high quality / final. - Output MP4 lands under
media/videos/.... State the path.
Minimal scene template
from manim import *
class Squares(Scene):
def construct(self):
s = Square(side_length=2, color=BLUE)
self.play(Create(s))
self.play(s.animate.rotate(PI / 2).set_color(RED))
self.wait()
Tips
- Keep scenes short and focused; one idea per scene.
- Animate one property change per
self.play(...)step so it reads clearly. - For text, use
MathTex(LaTeX math) orText(plain). - Prefer
-qlpreviews while iterating; switch to-qhonly for the final render. - Requires
python3and themanimpackage (install via pip). Per project rules, never use npm-equivalents for JS; here Manim is Python so pip is correct.
Signals
- GitHub stars
- 28
- Forks
- 7
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
manim-video-metaspartan- Source
- github.com/metaspartan/cybara