Manim Video

Community

timscheuerai

manim-video

Create an explanatory animation in Manim from a precise concept, scene plan and verified local renderer.

Overview

Publisher	timscheuerai
Repository	`linkedin-funnel`
Skill name	`manim-video`
Stars	60
Forks	20
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by timscheuerai on GitHub. Read the source before you install it.

Installation

Install the Manim Video AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/timscheuerai/linkedin-funnel/tree/main/skills/manim-video
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/timscheuerai/linkedin-funnel.git /tmp/linkedin-funnel
mkdir -p .claude/skills
cp -r /tmp/linkedin-funnel/skills/manim-video .claude/skills/manim-video

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manim Video in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Manim Video on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Manim Video is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Animate an explanation

Read the underlying concept and audience brief. Define what should become clear through motion: a transformation, dependency, construction or changing quantity. A decorative animation is not a substitute for the explanation.

Inspect the installed Manim version and current official documentation before writing version-dependent code. Manim and its rendering dependencies are not bundled in this kit.

Plan scenes with narration/caption, objects, spatial relationships, transformations and intended duration. Check mathematical statements and labels before animating. Use camera motion only when it helps explain scale or structure.

Implement in an editable Python project with explicit output directory and supplied brand tokens when available. Keep data and equations as source values. Render a low-cost preview to check pacing, text bounds, labels, camera and object continuity.

Render the requested final resolution and inspect the actual output. Check transitions and synchronize with narration if included. Use shorts-qa for applicable export checks.

Deliver scene source, rendered file, environment/version notes and any unverified dependencies. If rendering is unavailable, deliver the source as unrendered and identify the exact missing step.

Frequently asked questions

What does the Manim Video AI skill do?

Create an explanatory animation in Manim from a precise concept, scene plan and verified local renderer.

Why use Manim Video on TypingMind?

Because you install it once and use it with any model. Manim Video is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Manim Video in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/timscheuerai/linkedin-funnel/tree/main/skills/manim-video. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Manim Video?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Manim Video?

As many as you like. As long as a model supports skills, you can use Manim Video with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Manim Video AI skill free?

Yes. It is published on GitHub by timscheuerai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Animate an explanation

Frequently asked questions

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