manim-video

Generate Manim Community Edition animations from text prompts into rendered video.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/devMoez/titan --skill manim-video-devmoez
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: manim-video
Source: https://github.com/devMoez/titan/tree/main/skills/creative/manim-video
Command: npx skills add https://github.com/devMoez/titan --skill manim-video-devmoez

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Manim-video removes the heavy manual effort of planning, coding, rendering, and polishing math/technical animations by guiding the full production pipeline from a text prompt to a stitched, ready-to-share video.

Core Features & Use Cases

  • Narrative planning and scene blueprinting: converts a user’s concept request into a coherent visual story arc before writing code.
  • Automated Manim CE code generation and render pipeline: drafts and refines scenes, then renders them into per-scene clips and stitches them into a single output video.
  • Math-aligned creative direction: applies consistent palettes, typography, pacing, and opacity layering to keep the animation “educational cinema” instead of slideware.
  • Domain coverage: supports concept explainers, equation derivations, algorithm/data visualizations, and architecture/paper-style explainers.

Quick Start

Tell the agent: Create a 3Blue1Brown-style Manim Community Edition video that animates the proof of the Pythagorean theorem with clear step-by-step visual reveals and consistent colors.

Frequently Asked Questions about manim-video

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

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

Generating Manim animation videos involves converting mathematical text prompts into a narrated scene plan, Python scene code, rendered clips, and a final stitched video output. This requires Manim Community Edition for rendering and scene scripting.

What is the best way to automate equation derivation and math animation for educational storytelling?

Automating equation derivation and math animation requires a pipeline that drafts scene plans, generates Manim CE Python code, and renders clips with consistent palettes and typography. This approach produces educational cinema rather than static slideware.

Do I need LaTeX and ffmpeg installed to render Manim Community Edition videos?

Yes, you need LaTeX and ffmpeg installed to render Manim Community Edition videos with this skill. LaTeX ensures high-quality equation rendering, while ffmpeg handles stitching per-scene clips into a single output video.

Can I create 3Blue1Brown-style explainer videos for algorithm walkthroughs and data stories?

Yes, you can create 3Blue1Brown-style explainer videos for algorithm walkthroughs and data stories. The skill applies consistent pacing, opacity layering, and creative direction to produce educational storytelling animations.

What are the limitations of using Manim for concept explainers and architecture visualizations?

Manim limitations for concept explainers include requiring external voice services for TTS narration and needing iterative refinement for complex architecture visualizations. The skill handles code generation and rendering but external dependencies must be configured separately.