将一道数学题,变成一支有声有画的教学视频。
MathLens 是一个运行在 Cursor AI 中的 Agent Skill。你只需粘贴一道数学题(图片或文字),它就能自动完成从题目分析、可视化讲解、配音脚本到 Manim 动画视频的全流程制作。
提示:如视频无法预览,可直接下载 output.mp4 观看。
- 全自动流水线:8 步工作流一气呵成,无需手动拼接工具
- 深入浅出:AI 以一对一家教的方式拆解题目,适合普通学情的学生
- SVG 可视化讲解:自动生成带几何标注的 HTML 文档,随时预览
- 真人感配音:基于 edge-tts 生成自然语音,支持选择音色(默认晓晓)
- 画面音频精准同步:
wait_for_narration(keyword)机制让动画在读白说出关键词时精准触发 - 几何自校验:内置
assert_geometry()验证坐标正确性,防止画出错误图形 - Manim 动画视频:渲染输出专业级数学教学视频
题目输入
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① 数学分析 → 推导已知/结论,建立几何模型
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② HTML 可视化 → SVG 绘图 + 步骤标注,生成讲解页面
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③ 分镜脚本 → 定义幕结构,设计画面 / 字幕 / 读白
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④ TTS 生成 → 生成每幕 .wav 音频 + 同步点索引
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⑤ 音频验证 → 校验时长,回写分镜脚本
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⑥ 代码脚手架 → 生成 Manim 框架(几何建模 + 场景结构)
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⑦ 动画实现 → 按分镜逐幕实现动画,对齐读白同步点
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⑧ 渲染验证 → 输出视频 + 关键帧截图,失败自动修复
pip install uv manim edge-ttspython init.py ./my_math_problem在 Cursor 对话中,直接粘贴题目图片或描述即可:
(粘贴数学题截图)
帮我讲解这道题,生成教学视频。
AI 会自动按 8 步工作流完成制作。
# 生成 TTS 音频
python scripts/generate_tts.py audio_list.csv ./audio --voice xiaoxiao
# 验证音频并回写分镜时长
python scripts/validate_audio.py 分镜.md ./audio
# 检查 Manim 代码结构
python scripts/check.py
# 渲染视频
python scripts/render.pyMathLens/
├── README.md # 本文档
├── SKILL.md # Agent Skill 主文件(给 Cursor AI 读的)
├── init.py # 项目初始化脚本
├── resource/ # 演示素材
│ ├── input.png # 示例输入题目
│ └── output.mp4 # 示例输出视频
├── scripts/
│ ├── generate_tts.py # TTS 音频生成
│ ├── validate_audio.py # 音频验证 & 分镜回写
│ ├── check.py # Manim 代码结构检查
│ └── render.py # 视频渲染
├── templates/
│ └── script_scaffold.py # Manim 脚手架模板
├── references/ # 分镜脚本示例
└── sample/ # 早期风格探索参考
本项目采用 CC BY-NC 4.0(署名—非商业性使用 4.0 国际) 协议。
- 个人学习 / 教育用途:免费使用,欢迎分享
- 商业用途:须获得作者书面授权,未经授权不得用于商业目的
Creative Commons Attribution-NonCommercial 4.0 International
Turn a math problem into a narrated, animated teaching video.
MathLens is a Cursor Agent Skill. Just paste a math problem (image or text), and it automatically handles the full pipeline: problem analysis → visual explanation → voiceover scripting → Manim animation video.
If the video doesn't preview, download output.mp4 directly.
- Fully automated pipeline: 8-step workflow from image to video, no manual glue needed
- Student-friendly explanations: AI tutors step-by-step like a 1-on-1 teacher
- SVG visual explanations: Auto-generates annotated HTML documents for instant preview
- Natural-sounding voiceover: Powered by edge-tts with selectable voices (default: Xiaoxiao)
- Frame-accurate audio sync:
wait_for_narration(keyword)triggers animations exactly when the narration says the keyword - Geometry self-validation: Built-in
assert_geometry()verifies coordinates to prevent incorrect diagrams - Professional Manim video output: Renders polished math teaching videos
Problem Input
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① Math Analysis → Derive facts, build geometric model
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② HTML Visual → SVG diagram + step annotations
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③ Storyboard → Define scenes, design visuals / subtitles / narration
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④ TTS Audio → Generate per-scene .wav + sync point index
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⑤ Audio Validate → Verify durations, write back to storyboard
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⑥ Scaffold → Generate Manim framework (geometry + scene structure)
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⑦ Animation Code → Implement scene-by-scene, aligned to narration sync points
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⑧ Render & Check → Output video + keyframes; auto-retry on failure
pip install uv manim edge-ttspython init.py ./my_math_problemIn Cursor, paste a problem image or description:
(paste math problem screenshot)
Please explain this problem and generate a teaching video.
The AI will automatically run the full 8-step pipeline.
# Generate TTS audio
python scripts/generate_tts.py audio_list.csv ./audio --voice xiaoxiao
# Validate audio and write durations back to storyboard
python scripts/validate_audio.py storyboard.md ./audio
# Check Manim code structure
python scripts/check.py
# Render video
python scripts/render.pyThis project is licensed under CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International).
- Personal / educational use: Free to use and share
- Commercial use: Requires written permission from the author
Creative Commons Attribution-NonCommercial 4.0 International
