manim-video

Generate Manim Python animations and render explanatory videos from text prompts.

Updated Apr 12, 2026
One-click install
npx skills add https://github.com/thisismynewfmail-ui/Monika-agent --skill manim-video-thisismynewfmail-ui
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: manim-video
Source: https://github.com/thisismynewfmail-ui/Monika-agent/tree/main/skills/creative/manim-video
Command: npx skills add https://github.com/thisismynewfmail-ui/Monika-agent --skill manim-video-thisismynewfmail-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, manim, pdflatex, ffmpeg, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Creating high-quality mathematical and technical animation videos is time-consuming and error-prone when done manually; this Skill automates the end-to-end pipeline so educators, researchers, and engineers can produce clear, pedagogically structured explainers faster.

Core Features & Use Cases

  • Automated pipeline from creative plan to final video: narrative planning, scene list, Manim Python code generation, rendering, ffmpeg stitching, and iterative refinement.
  • Opinionated creative and design guidelines for educational clarity: geometry-before-algebra, opacity layering, pacing, consistent typography, and color palettes.
  • Modes for common tasks: concept explainers, equation derivations, algorithm visualizations, data stories, architecture diagrams, and 3D visualizations.
  • Production-ready references covering animations, rendering presets, camera and 3D, equations, plotting, updaters, and troubleshooting.

Quick Start

Use the manim-video skill to produce a draft three-scene explainer by providing a short topic description, a target audience, and any equations or data to visualize.

Frequently Asked Questions about manim-video

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

FAQPage Schema
How do I create mathematical animation videos from text prompts?

Math animation videos are generated by automating scene planning, Manim Python code generation, rendering, and ffmpeg stitching to produce educational explainers directly from text prompts.

What is the best way to automate equation derivation visualizations?

Automating equation derivation visualizations is best handled by generating Manim Python code with opinionated design guidelines like geometry-before-algebra and consistent typography for pedagogical clarity.

Do I need Python and LaTeX to render Manim animations?

Rendering Manim animations requires Python 3.10+, Manim Community Edition, LaTeX (pdflatex) for equation typesetting, and ffmpeg for video stitching and output generation.

Can I add per-scene narration and subtitles to programmatic math videos?

Programmatic math videos support per-scene narration and subtitle generation alongside draft and production quality presets to automate the end-to-end explanatory video pipeline.

Does this approach work for algorithm visualizations and data stories?

This approach supports algorithm visualizations, data stories, architecture diagrams, and 3D visualizations by applying creative planning and iterative refinement to the rendering pipeline.

Why does Manim video rendering fail during ffmpeg stitching?

Manim video rendering fails during ffmpeg stitching when dependencies are missing, requiring correctly installed Python 3.10+, Manim Community Edition, pdflatex, and ffmpeg to execute the automated pipeline.