---
name: manim-video
description: Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.
metadata:
  origin: ECC
---

# Manim Video

Use Manim for technical explainers where motion, structure, and clarity matter more than photorealism.

## When to Activate

- the user wants a technical explainer animation
- the concept is a graph, workflow, architecture, metric progression, or system diagram
- the user wants a short product or launch explainer for X or a landing page
- the visual should feel precise instead of generically cinematic

## Tool Requirements

- `manim` CLI for scene rendering
- `ffmpeg` for post-processing if needed
- `video-editing` for final assembly or polish
- `remotion-video-creation` when the final package needs composited UI, captions, or additional motion layers

## Default Output

- short 16:9 MP4
- one thumbnail or poster frame
- storyboard plus scene plan

## Workflow

1. Define the core visual thesis in one sentence.
2. Break the concept into 3 to 6 scenes.
3. Decide what each scene proves.
4. Write the scene outline before writing Manim code.
5. Render the smallest working version first.
6. Tighten typography, spacing, color, and pacing after the render works.
7. Hand off to the wider video stack only if it adds value.

## Scene Planning Rules

- each scene should prove one thing
- avoid overstuffed diagrams
- prefer progressive reveal over full-screen clutter
- use motion to explain state change, not just to keep the screen busy
- title cards should be short and loaded with meaning

## Network Graph Default

For social-graph and network-optimization explainers:

- show the current graph before showing the optimized graph
- distinguish low-signal follow clutter from high-signal bridges
- highlight warm-path nodes and target clusters
- if useful, add a final scene showing the self-improvement lineage that informed the skill

## Render Conventions

- default to 16:9 landscape unless the user asks for vertical
- start with a low-quality smoke test render
- only push to higher quality after composition and timing are stable
- export one clean thumbnail frame that reads at social size

## Reusable Starter

Use [assets/network_graph_scene.py](assets/network_graph_scene.py) as a starting point for network-graph explainers.

Example smoke test:

```bash
manim -ql assets/network_graph_scene.py NetworkGraphExplainer
```

## Output Format

Return:

- core visual thesis
- storyboard
- scene outline
- render plan
- any follow-on polish recommendations

## Related Skills

- `video-editing` for final polish
- `remotion-video-creation` for motion-heavy post-processing or compositing
- `content-engine` when the animation is part of a broader launch


---
Source attribution: affaan-m
Original project: https://github.com/affaan-m/everything-claude-code/blob/25278e7d7b6cf6e6a4e7a6c8e10f14ff22f0eb5b/skills/manim-video/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Affaan Mustafa

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: affaan-m
Original project: https://github.com/affaan-m/everything-claude-code/blob/25278e7d7b6cf6e6a4e7a6c8e10f14ff22f0eb5b/skills/manim-video/SKILL.md
Attribution basis: Source repository record

Fields of work: Content & Media, Marketing
Roles: Content Marketer, Product Marketer, Video Producer
Specialties: Specialty not specified
Tools: FFmpeg
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: bb890b019664a995ca2bf6c08add444a85099caf4c0085de50e9ad6f62d62d5f