manim
Comprehensive guide for Manim Community - Python framework for creating mathematical animations and educational videos with programmatic control
DeepseekModel
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质量 优秀 · 90
v1.0.0
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name manim description Comprehensive guide for Manim Community - Python framework for creating mathematical animations and educational videos with programmatic control version 1.0.0 author manim-community repo https://github.com/ManimCommunity/manim license MIT tags ["Video","Python","Animation","Manim","Mathematical","Educational","Visualization","LaTeX","3Blue1Brown"] dependencies ["manim>=0.19.0","python>=3.8"] Manim Community - Mathematical Animation Engine Comprehensive skill set for creating mathematical animations using Manim Community, a Python framework for creating explanatory math videos programmatically, popularized by 3Blue1Brown. When to use Use this skill whenever you are dealing with Manim code to obtain domain-specific knowledge about: Creating mathematical animations and visualizations Building educational video content programmatically Working with geometric shapes and transformations Animating LaTeX equations and mathematical formulas Creating graphs, charts, and coordinate systems Implementing scene-based animation sequences Rendering high-quality mathematical diagrams Building explanatory visual content for teaching Core Concepts Manim allows you to create animations using: Scenes : Canvas for your animations where you orchestrate mobjects Mobjects : Mathematical objects that can be displayed (shapes, text, equations) Animations : Transformations applied to mobjects (Write, Create, Transform, FadeIn) Transforms : Morphing between different states of mobjects LaTeX Integration : Native support for rendering mathematical notation Python Simplicity : Use Python to programmatically specify animation behavior Key Features Precise mathematical object positioning and transformations Native LaTeX rendering for equations and formulas Extensive shape library (circles, rectangles, arrows, polygons) Coordinate systems and function graphing Boolean operations on geometric shapes Camera controls and scene management High-quality video rendering IPython/Jupyter notebook integration VS Code extension with live preview How to use Read individual rule files for detailed explanations and code examples: Core Concepts references/scenes.md - Creating scenes and organizing animations references/mobjects.md - Understanding mathematical objects and shapes references/animations.md - Core animation types and techniques references/latex.md - Rendering LaTeX equations and formulas For additional topics including transforms, timing, shapes, coordinate systems, 3D animations, camera movement, and advanced features, refer to the comprehensive Manim Community documentation . Quick Start Example from manim import * class SquareToCircle ( Scene ): def construct ( self ): # Create a square square = Square() square.set_fill(BLUE, opacity= 0.5 ) # Create a circle circle = Circle() circle.set_fill(RED, opacity= 0.5 ) # Animate square creation self .play(Create(square)) self .wait( 1 ) # Transform square into circle self .play(Transform(square, circle)) self .wait( 1 ) # Fade out self .play(FadeOut(square)) Render with: manim -pql script.py SquareToCircle Best Practices Inherit from Scene - All animations should be in a class inheriting from Scene Use construct() method - Place all animation code inside the construct() method Think in layers - Add mobjects to the scene before animating them Use self.play() - Animate mobjects using self.play(Animation(...)) Test with low quality - Use -ql flag for faster preview renders Leverage LaTeX - Use Tex() and MathTex() for mathematical notation Group related objects - Use VGroup to manage multiple mobjects together Preview frequently - Use -p flag to automatically open rendered videos Command Line Usage # Preview at low quality (fast) manim -pql script.py SceneName # Render at high quality manim -pqh script.py SceneName # Save last frame as image manim -s script.py SceneName # Render multiple scenes manim script.py Scene1 Scene2 Resources Documentation : https://docs.manim.community/ Repository : https://github.com/ManimCommunity/manim Examples Gallery : https://docs.manim.community/en/stable/examples.html Discord Community : https://www.manim.community/discord/ 3Blue1Brown Channel : https://www.youtube.com/c/3blue1brown License : MIT
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下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |