manim-video

Plan and render educational explainer videos with Manim Community Edition.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/owen-d/dots --skill manim-video-owen-d
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: manim-video
Source: https://github.com/owen-d/dots/tree/main/home/skills/manim-video
Command: npx skills add https://github.com/owen-d/dots --skill manim-video-owen-d

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, manim, pkgconf, cairo, pdflatex, ffmpeg, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Manim Video streamlines the planning, coding, rendering, and review of educational explainer videos built with Manim Community Edition, removing friction around environment setup, visual consistency, and production-quality rendering so creators can focus on pedagogy and storytelling.

Core Features & Use Cases

  • Starter scaffold and project conventions: reusable assets/starter scaffold, style constants, and a recommended one-class-per-scene script layout to accelerate new projects.
  • Environment and rendering guidance: project-local uv environment workflow, runtime checks, optional LaTeX guidance, and ffmpeg post-processing instructions to produce draft and production renders.
  • Design and pipeline playbook: detailed references on scene planning, animation patterns, camera/3D, equations, graphs, visual design, updaters/trackers, and a production-quality checklist for consistent, readable, and accessible videos.
  • Use cases: concept explainers, step-by-step equation derivations, algorithm visualizations, data stories and charts, architecture diagrams, research paper explainers, and 3D visualizations.

Quick Start

Copy the starter scaffold into a new project, run the provided setup script to verify the machine and dependencies, and render a draft with uv run manim -ql script.py StarterHook.

Frequently Asked Questions about manim-video

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

FAQPage Schema
How do I create educational explainer videos with Manim?

You can create educational explainer videos with Manim by scripting Python scenes using a one-class-per-scene layout, applying consistent style constants, and rendering outputs via a project-local uv environment with ffmpeg for post-processing.

What dependencies do I need to render Manim animations on my machine?

Rendering Manim animations requires a project-local uv environment with Manim Community Edition installed, alongside pkgconf, cairo, and ffmpeg for video output, plus an optional pdflatex setup for MathTex and Tex equations.

Can I visualize math derivations and algorithm animations in Python using Manim?

Yes, you can visualize math derivations and algorithm animations in Python using Manim by leveraging scripted scene classes, updaters, trackers, and camera controls to produce step-by-step educational explainers.

Does Manim work with uv for environment management and rendering?

Manim works with uv by using a project-local environment where you run setup scripts to verify dependencies and render drafts with commands like uv run manim, streamlining the production pipeline.

What's the best way to structure a Manim project for consistent video production?

The best way to structure a Manim project for consistent video production is to use a starter scaffold with reusable assets, predefined style constants, and a one-class-per-scene script layout to maintain visual consistency.

Why does rendering MathTex or Tex in Manim require LaTeX?

Rendering MathTex or Tex in Manim requires LaTeX because Manim relies on pdflatex to compile mathematical typesetting into vector graphics that can be animated within the video scene.