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Manim Composer

CommunityPopular
adithya-s-k
manim-composer

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for implementation.

Overview

Publisheradithya-s-k
Repositorymanim_skill
Skill namemanim-composer
Stars
1.1K
Forks
94
Bundled files
4
LicenseMIT
Links
  • 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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by adithya-s-k on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/adithya-s-k/manim_skill/tree/main/skills/manim-composer
  4. 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.
2

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/adithya-s-k/manim_skill.git /tmp/manim_skill
mkdir -p .claude/skills
cp -r /tmp/manim_skill/skills/manim-composer .claude/skills/manim-composer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manim Composer 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 Composer 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 Composer 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.

Workflow

Phase 1: Understand the Concept

  1. Research the topic deeply before asking questions

    • Use web search to understand the core concepts
    • Identify the key insights that make this topic interesting
    • Find the "aha moment" - what makes this click for learners
    • Note common misconceptions to address
  2. Identify the narrative hook

    • What question does this video answer?
    • Why should the viewer care?
    • What's the surprising or counterintuitive element?

Phase 2: Clarify with User

Ask targeted questions (not all at once - adapt based on responses):

Audience & Scope

  • What math/science background should I assume? (e.g., "knows calculus" or "high school algebra")
  • Target video length? (short: 5-10min, medium: 15-20min, long: 30min+)
  • Should this be self-contained or part of a series?

Focus & Depth

  • Any specific aspects to emphasize or skip?
  • Proof-heavy or intuition-focused?
  • Real-world applications to include?

Style Preferences

  • Color scheme preferences?
  • Narration style? (casual, formal, playful)
  • Any specific visual metaphors you have in mind?

Phase 3: Create scenes.md

Output a comprehensive scenes.md file with this structure:

markdown
# [Video Title]

## Overview
- **Topic**: [Core concept]
- **Hook**: [Opening question/mystery]
- **Target Audience**: [Prerequisites]
- **Estimated Length**: [X minutes]
- **Key Insight**: [The "aha moment"]

## Narrative Arc
[2-3 sentences describing the journey from confusion to understanding]

---

## Scene 1: [Scene Name]
**Duration**: ~X seconds
**Purpose**: [What this scene accomplishes]

### Visual Elements
- [List of mobjects needed]
- [Animations to use]
- [Camera movements]

### Content
[Detailed description of what happens, what's shown, what's explained]

### Narration Notes
[Key points to convey, tone, pacing notes]

### Technical Notes
- [Specific Manim classes/methods to use]
- [Any tricky implementations to note]

---

## Scene 2: [Scene Name]
...

---

## Transitions & Flow
[Notes on how scenes connect, recurring visual motifs]

## Color Palette
- Primary: [color] - used for [purpose]
- Secondary: [color] - used for [purpose]
- Accent: [color] - used for [purpose]
- Background: [color]

## Mathematical Content
[List of equations, formulas, or mathematical objects that need to be rendered]

## Implementation Order
[Suggested order for implementing scenes, noting dependencies]

3b1b Style Principles

Apply these principles when composing scenes:

Visual Storytelling

  • Show, don't just tell - Every concept needs a visual representation
  • Progressive revelation - Build complexity gradually, don't show everything at once
  • Visual continuity - Transform objects rather than replacing them when possible

Pacing & Rhythm

  • Pause for insight - Give viewers time to absorb key moments
  • Vary the pace - Mix quick sequences with slower explanations
  • End scenes with resolution - Each scene should feel complete

Mathematical Beauty

  • Emphasize elegance - Highlight when math is surprisingly simple or beautiful
  • Connect representations - Show the same concept multiple ways (algebraic, geometric, intuitive)
  • Embrace abstraction gradually - Start concrete, then generalize

Engagement Techniques

  • Pose questions - Make viewers curious before revealing answers
  • Acknowledge difficulty - "This might seem confusing at first..."
  • Celebrate insight - Make the "aha moment" feel earned

References

Templates

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Manim Composer AI skill do?

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code....

Why use Manim Composer on TypingMind?

Because you install it once and use it with any model. Manim Composer 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 Composer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/adithya-s-k/manim_skill/tree/main/skills/manim-composer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Manim Composer?

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 Composer?

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

Is the Manim Composer AI skill free?

Yes. It is published on GitHub by adithya-s-k 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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