Skill71 estrellas del repoactualizado 4mo ago
manim-skill
Create mathematical animations with Manim Community Edition(manimce). Generates distinctive, production-grade animations that avoid generic "AI slop" aesthetics. Use when user wants to animate concepts, equations, illustrate proofs, visualize algorithms, create math explainers, or produce 3Blue1Brown-style videos.
Instalar en Claude Code
Copiargit clone --depth 1 https://github.com/Yusuke710/manim-skill /tmp/manim-skill && cp -r /tmp/manim-skill/skills/manim-skill ~/.claude/skills/manim-skillDespués abre una sesión nueva de Claude Code; el skill carga automáticamente.
Definición
SKILL.md
## Project Structure
Create a dedicated folder for each animation project **in the user's current working directory** (NOT in this skill's base directory). Use this flat structure:
```
<project-name>/
├── plan.md # Planning document (Phase 1)
├── script.py # Manim code (Phase 2)
├── concat.txt # ffmpeg scene list (Phase 3)
├── final.mp4 # Stitched output (Phase 3)
└── media/ # Auto-generated by manim
└── videos/
└── script/
└── 480p15/ # or 1080p60
├── Scene1_Name.mp4
├── Scene2_Name.mp4
└── ...
```
**Before starting**: Create the project folder and work from within it. All commands should be run from the project directory.
```bash
mkdir -p <project-name> && cd <project-name>
```
## Workflow Overview
```
Plan → Code → Render → Iterate
```
### Phase 1: Plan
**If the user has already used plan mode in claude code or provided detailed requirements, write that in `plan.md` and skip to Phase 2. Otherwise, you MUST carefully plan the video structure before writing code.**
Before writing any Manim code, wrtie `plan.md`:
```markdown
# [Video Title]
## Overview
- **Topic**: [Core concept]
- **Hook**: [Opening question/mystery]
- **Target Audience**: [Prerequisites]
- **Estimated Length**: [X minutes]
- **Key Insight**: [The "aha moment"]
- **Resolution**: [480p(default), 1080p]
- **Aspect Ratio**: [16:9(default) / 9:16 / 1:1]
## 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]
### Voiceover
- **Text**: "[Exact script or key points]"
- **Sync Points**: "[phrase]" → syncs with [animation]
### 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]
## Shared Elements
- [Recurring mobjects across scenes, e.g., "coordinate axes reappear in scenes 2, 4, 6"]
- [Visual motifs, e.g., "blue highlight for key terms"]
## Color Palette
- Primary: [color] - used for [purpose]
- Secondary: [color] - used for [purpose]
- Accent: [color] - used for [purpose]
- Background: [color]
```
### Phase 2: Code
**BEFORE writing any code, you MUST invoke the `manimce-best-practices` skill using the Skill tool, then read the relevant rule files it references (e.g., `rules/scenes.md`, `rules/animations.md`) based on what your video needs.**
Write Manim Community Edition code in `script.py`.
#### Code Structure
1. **One class per scene** - Name scenes descriptively: `Scene1_Introduction`, `Scene2_DerivePDE`
2. Always add subtitles to your animations with `add_subcaption()`
- Manim generates a `.srt` file automatically
- The viewer handles subtitle display and lets users toggle/resize them
```python
from manim import *
## Scene1_Introduction
class Scene1_Introduction(Scene):
def construct(self):
## Scene1_Introduction.title
title = Text("My Topic", font_size=48, color=BLUE)
self.add_subcaption("Introducing our topic", duration=2)
self.play(Write(title))
self.wait(1)
## Scene1_Introduction.fadeout
self.play(FadeOut(title), subcaption="Let's begin", subcaption_duration=1)
```
### Phase 3: Render
Use `manim` CLI to render scenes. Multiple scenes can be rendered in parallel with one command.
```bash
manim -q<quality> [--media_dir <output_dir>] <script.py> Scene1 Scene2 Scene3 ...
```
**Quality flags:**
- `-ql` - Low quality (480p15, fastest for testing. Use by default)
- `-qh` - High quality (1080p60, only when user explicitly requests)
**Output location:**
`/media/videos/<script_name>/<quality>/SceneName.mp4`
Default `/media` is located in current directory.
**If any scene fails:** Read the error, fix the code, re-render only the failed scenes.
#### Stitch scenes with ffmpeg
Once all scenes render successfully, combine them. All paths are relative to the project folder:
```bash
# Create concat list (run from project folder)
cat > concat.txt << 'EOF'
file 'media/videos/script/480p15/Scene1_Intro.mp4'
file 'media/videos/script/480p15/Scene2_Main.mp4'
file 'media/videos/script/480p15/Scene3_Conclusion.mp4'
EOF
# Combine videos
ffmpeg -y -f concat -safe 0 -i concat.txt -c copy final.mp4
```
**Result**: `final.mp4` is created in the project folder alongside `script.py` and `concat.txt`.
### Phase 4: Iterate on User Feedback
Launch the viewer for user to review and provide feedback (run from project folder):
```bash
python3 ../tools/video_viewer.py final.mp4 --order concat.txt [--script script.py]
```
- `--order`: Video order file (concat.txt, required for chapters)
- `--script`: Manim script (enables high-quality download option)
When user provides feedback:
1. Identify which scenes need changes
2. Modify the code
3. Re-render only affected scenes
4. Re-stitch the final video
5. Run the viewer command again