Turn a math or science video idea into a detailed scene plan. Research the topic, clarify the audience, and outline visuals, narration, transitions, and implementation notes for Manim, an animation tool.
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.
manim-composer turns a rough idea for a math or science explainer video into a scene-by-scene plan. It researches the topic, identifies insights that help learners understand it, and notes common misconceptions. After clarifying the audience, video length, and explanation depth, it records each scene’s purpose, shapes, movements, camera work, and narration points in scenes.md.
Use it when you know which concept to explain but need to decide what to show and in what order. It also helps plan videos that move from concrete examples toward abstract understanding, in the style of 3Blue1Brown, or connect equations with geometric visuals. The plan covers colors, connections between scenes, and implementation dependencies, including the order in which scenes should be built.
This skill plans the video. Use it before writing Manim code, then use manimce-best-practices or manimgl-best-practices for implementation. Its output is a specification for ManimCE or ManimGL, rather than a finished video.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.
The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 23, 2026. Treat it as a guide and read the original before installing.
Review the instructions the agent will receive before you install.
Research the topic deeply before asking questions
Identify the narrative hook
Ask targeted questions (not all at once - adapt based on responses):
Audience & Scope
Focus & Depth
Style Preferences
Output a comprehensive scenes.md file with this structure:
# [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]
Apply these principles when composing scenes:
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