构建可复用的Manim解释器,用于技术概念、图表、系统图和产品演示,并在需要时移交给更广泛的ECC视频栈。当用户希望获得清晰的动画解释而非通用的人物讲解脚本时使用。
Scanned 9/4/2026
Install to Claude Code
npx -y skills add affaan-m/everything-claude-code --skill manim-video --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: manim-video
description: 构建可复用的Manim解释器,用于技术概念、图表、系统图和产品演示,并在需要时移交给更广泛的ECC视频栈。当用户希望获得清晰的动画解释而非通用的人物讲解脚本时使用。
origin: ECC
---
# Manim 视频
在运动、结构和清晰度比逼真度更重要的技术讲解中,使用 Manim。
## 何时激活
* 用户需要技术讲解动画
* 概念涉及图表、工作流、架构、指标演进或系统图
* 用户需要为 X 或落地页制作简短的产品或发布讲解
* 视觉效果应追求精确,而非泛泛的电影感
## 工具要求
* `manim` 命令行用于场景渲染
* `ffmpeg` 用于后期处理(如需)
* `video-editing` 用于最终合成或润色
* `remotion-video-creation` 当最终成品需要合成 UI、字幕或额外运动层时
## 默认输出
* 16:9 短 MP4 视频
* 一张缩略图或海报帧
* 故事板及场景计划
## 工作流程
1. 用一句话定义核心视觉论点。
2. 将概念分解为 3 到 6 个场景。
3. 确定每个场景要证明的内容。
4. 在编写 Manim 代码前,先写出场景大纲。
5. 首先渲染最小可用版本。
6. 渲染成功后,再调整排版、间距、颜色和节奏。
7. 仅在能增加价值时,才移交至更广泛的视频处理流程。
## 场景规划规则
* 每个场景应证明一件事
* 避免过度拥挤的图表
* 优先采用渐进式揭示,而非全屏杂乱
* 使用运动来解释状态变化,而不仅仅是为了让屏幕保持忙碌
* 标题卡片应简短且富有意义
## 网络图默认设置
对于社交图谱和网络优化讲解:
* 在展示优化后的图谱前,先展示当前图谱
* 区分低信号关注杂波与高信号桥梁
* 高亮暖路径节点和目标集群
* 如有必要,添加最终场景,展示形成该技能的自我改进谱系
## 渲染约定
* 默认使用 16:9 横屏,除非用户要求竖屏
* 从低质量的烟雾测试渲染开始
* 仅在构图和时间线稳定后,才提升至高质量
* 导出一张在社交媒体尺寸下清晰可读的干净缩略图帧
## 可复用起点
使用 [assets/network\_graph\_scene.py](../../../../skills/manim-video/assets/network_graph_scene.py) 作为网络图讲解的起点。
烟雾测试示例:
```bash
manim -ql assets/network_graph_scene.py NetworkGraphExplainer
```
## 输出格式
返回:
* 核心视觉论点
* 故事板
* 场景大纲
* 渲染计划
* 任何后续的润色建议
## 相关技能
* `video-editing` 用于最终润色
* `remotion-video-creation` 用于运动密集型后期处理或合成
* `content-engine` 当动画是更广泛发布的一部分时
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