AI剪口播
無料口播视频转录和口误识别。生成审查稿和删除任务清单。触发词:剪口播、处理视频、识别口误
日本語の概要は準備中です。原文の説明を表示しています。
Production pipeline for mathematical and technical animations using Manim Community Edition. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories. Use when users request: animated explanations, math animations, concept visualizations, algorithm walkthroughs, technical explainers, 3Blue1Brown style videos, or any programmatic animation with geometric/mathematical content.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This is educational cinema. Every frame teaches. Every animation reveals structure.
Before writing a single line of code, articulate the narrative arc. What misconception does this correct? What is the "aha moment"? What visual story takes the viewer from confusion to understanding? The user's prompt is a starting point — interpret it with pedagogical ambition.
Geometry before algebra. Show the shape first, the equation second. Visual memory encodes faster than symbolic memory. When the viewer sees the geometric pattern before the formula, the equation feels earned.
First-render excellence is non-negotiable. The output must be visually clear and aesthetically cohesive without revision rounds. If something looks cluttered, poorly timed, or like "AI-generated slides," it is wrong.
Opacity layering directs attention. Never show everything at full brightness. Primary elements at 1.0, contextual elements at 0.4, structural elements (axes, grids) at 0.15. The brain processes visual salience in layers.
Breathing room. Every animation needs self.wait() after it. The viewer needs time to absorb what just appeared. Never rush from one animation to the next. A 2-second pause after a key reveal is never wasted.
Cohesive visual language. All scenes share a color palette, consistent typography sizing, matching animation speeds. A technically correct video where every scene uses random different colors is an aesthetic failure.
Run scripts/setup.sh to verify all dependencies. Requires: Python 3.10+, Manim Community Edition v0.20+ (pip install manim), LaTeX (texlive-full on Linux, mactex on macOS), and ffmpeg. Reference docs tested against Manim CE v0.20.1.
| Mode | Input | Output | Reference |
|---|---|---|---|
| Concept explainer | Topic/concept | Animated explanation with geometric intuition | references/scene-planning.md |
| Equation derivation | Math expressions | Step-by-step animated proof | references/equations.md |
| Algorithm visualization | Algorithm description | Step-by-step execution with data structures | references/graphs-and-data.md |
| Data story | Data/metrics | Animated charts, comparisons, counters | references/graphs-and-data.md |
| Architecture diagram | System description | Components building up with connections | references/mobjects.md |
| Paper explainer | Research paper | Key findings and methods animated | references/scene-planning.md |
| 3D visualization | 3D concept | Rotating surfaces, parametric curves, spatial geometry | references/camera-and-3d.md |
Single Python script per project. No browser, no Node.js, no GPU required.
| Layer | Tool | Purpose |
|---|---|---|
| Core | Manim Community Edition | Scene rendering, animation engine |
| Math | LaTeX (texlive/MiKTeX) | Equation rendering via MathTex |
| Video I/O | ffmpeg | Scene stitching, format conversion, audio muxing |
| TTS | Local IndexTTS2 via workspace tts-skill | Lossless narration voiceover |
PLAN --> CODE --> RENDER --> STITCH --> AUDIO (optional) --> REVIEW
plan.md with narrative arc, scene list, visual elements, color palette, voiceover scriptscript.py with one class per scene, each independently renderablemanim -ql script.py Scene1 Scene2 ... for draft, -qh for productionfinal.mp4references/rendering.mdproject-name/
plan.md # Narrative arc, scene breakdown
script.py # All scenes in one file
concat.txt # ffmpeg scene list
final.mp4 # Stitched output
media/ # Auto-generated by Manim
videos/script/480p15/
| Palette | Background | Primary | Secondary | Accent | Use case |
|---|---|---|---|---|---|
| Classic 3B1B | #1C1C1C | #58C4DD (BLUE) | #83C167 (GREEN) | #FFFF00 (YELLOW) | General math/CS |
| Warm academic | #2D2B55 | #FF6B6B | #FFD93D | #6BCB77 | Approachable |
| Neon tech | #0A0A0A | #00F5FF | #FF00FF | #39FF14 | Systems, architecture |
| Monochrome | #1A1A2E | #EAEAEA | #888888 | #FFFFFF | Minimalist |
| Context | run_time | self.wait() after |
|---|---|---|
| Title/intro appear | 1.5s | 1.0s |
| Key equation reveal | 2.0s | 2.0s |
| Transform/morph | 1.5s | 1.5s |
| Supporting label | 0.8s | 0.5s |
| FadeOut cleanup | 0.5s | 0.3s |
| "Aha moment" reveal | 2.5s | 3.0s |
| Role | Font size | Usage |
|---|---|---|
| Title | 48 | Scene titles, opening text |
| Heading | 36 | Section headers within a scene |
| Body | 30 | Explanatory text |
| Label | 24 | Annotations, axis labels |
| Caption | 20 | Subtitles, fine print |
Use monospace fonts for all text. Manim's Pango renderer produces broken kerning with proportional fonts at all sizes. See references/visual-design.md for full recommendations.
MONO = "Menlo" # define once at top of file
Text("Fourier Series", font_size=48, font=MONO, weight=BOLD) # titles
Text("n=1: sin(x)", font_size=20, font=MONO) # labels
MathTex(r"\nabla L") # math (uses LaTeX)
Minimum font_size=18 for readability.
Never use identical config for all scenes. For each scene:
Before any code, write plan.md. See references/scene-planning.md for the comprehensive template.
One class per scene. Every scene is independently renderable.
from manim import *
BG = "#1C1C1C"
PRIMARY = "#58C4DD"
SECONDARY = "#83C167"
ACCENT = "#FFFF00"
MONO = "Menlo"
class Scene1_Introduction(Scene):
def construct(self):
self.camera.background_color = BG
title = Text("Why Does This Work?", font_size=48, color=PRIMARY, weight=BOLD, font=MONO)
self.add_subcaption("Why does this work?", duration=2)
self.play(Write(title), run_time=1.5)
self.wait(1.0)
self.play(FadeOut(title), run_time=0.5)
Key patterns:
self.add_subcaption("text", duration=N) or subcaption="text" on self.play()self.camera.background_color set in every sceneself.play(FadeOut(Group(*self.mobjects)))manim -ql script.py Scene1_Introduction Scene2_CoreConcept # draft
manim -qh script.py Scene1_Introduction Scene2_CoreConcept # production
cat > concat.txt << 'EOF'
file 'media/videos/script/480p15/Scene1_Introduction.mp4'
file 'media/videos/script/480p15/Scene2_CoreConcept.mp4'
EOF
ffmpeg -y -f concat -safe 0 -i concat.txt -c copy final.mp4
manim -ql --format=png -s script.py Scene2_CoreConcept # preview still
# WRONG: MathTex("\frac{1}{2}")
# RIGHT:
MathTex(r"\frac{1}{2}")
label.to_edge(DOWN, buff=0.5) # never < 0.5
self.play(ReplacementTransform(note1, note2)) # not Write(note2) on top
self.play(Create(circle)) # must add first
self.play(circle.animate.set_color(RED)) # then animate
| Quality | Resolution | FPS | Speed |
|---|---|---|---|
-ql (draft) | 854x480 | 15 | 5-15s/scene |
-qm (medium) | 1280x720 | 30 | 15-60s/scene |
-qh (production) | 1920x1080 | 60 | 30-120s/scene |
Always iterate at -ql. Only render -qh for final output.
| File | Contents |
|---|---|
references/animations.md | Core animations, rate functions, composition, .animate syntax, timing patterns |
references/mobjects.md | Text, shapes, VGroup/Group, positioning, styling, custom mobjects |
references/visual-design.md | 12 design principles, opacity layering, layout templates, color palettes |
references/equations.md | LaTeX in Manim, TransformMatchingTex, derivation patterns |
references/graphs-and-data.md | Axes, plotting, BarChart, animated data, algorithm visualization |
references/camera-and-3d.md | MovingCameraScene, ThreeDScene, 3D surfaces, camera control |
references/scene-planning.md | Narrative arcs, layout templates, scene transitions, planning template |
references/rendering.md | CLI reference, quality presets, ffmpeg, voiceover workflow, GIF export |
references/troubleshooting.md | LaTeX errors, animation errors, common mistakes, debugging |
references/animation-design-thinking.md | When to animate vs show static, decomposition, pacing, narration sync |
references/updaters-and-trackers.md | ValueTracker, add_updater, always_redraw, time-based updaters, patterns |
references/paper-explainer.md | Turning research papers into animations — workflow, templates, domain patterns |
references/decorations.md | SurroundingRectangle, Brace, arrows, DashedLine, Angle, annotation lifecycle |
references/production-quality.md | Pre-code, pre-render, post-render checklists, spatial layout, color, tempo |
If the user asks for creative, experimental, or unconventional explanatory approaches, select a strategy and reason through it BEFORE designing the animation.
Take a standard mathematical/technical visualization and transform it:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
口播视频转录和口误识别。生成审查稿和删除任务清单。触发词:剪口播、处理视频、识别口误
日本語の概要は準備中です。原文の説明を表示しています。
将法天象地、同源巨大法相或角色力量显现的视觉参考制作成连续关键帧,再使用用户选择或可用的图生视频工具分段生成、检查和合成动作视频,不绑定成片平台。适用于本体与法相同框、领域展开、凝实与同步出招;不负责整部小说改编或普通图片轮播。
日本語の概要は準備中です。原文の説明を表示しています。
口播基础素材包生成。转录口播、识别口误、生成审核页;用户确认后剪出新视频,Agent 再基于剪后视频重新转写、AI 校对字幕,输出后续口播成片可用的 source_cut.mp4 和 subtitles.srt。触发词:剪口播、处理口播素材、准备口播素材、识别口误、基础素材包
日本語の概要は準備中です。原文の説明を表示しています。
口播视频成片 Skill。把文章/口播稿/SRT、剪后视频和 HTML/图片素材串成分镜稿、时间线预览和最终 MP4;成片比例和动画风格从用户配置读取,动画默认使用小黑风格。触发词:口播成片、做分镜稿、时间线预览、合成口播视频、导出竖屏MP4
日本語の概要は準備中です。原文の説明を表示しています。
自进化 skills。记录用户反馈,更新方法论和规则。触发词:更新规则、记录反馈、改进skill
日本語の概要は準備中です。原文の説明を表示しています。
dontbesilent 商业工具箱主入口。双模式:任务前路由(你的问题该用哪个 skill)+ 任务后导航(刚做完诊断,下一步该干什么)。 触发方式:/dbs、/商业、「帮我看看」、「下一步怎么走」 Main entry point for dontbesilent business toolkit. Dual mode: pre-task routing + post-task navigation. Trigger: /dbs, "help me with my business", "what's next"
日本語の概要は準備中です。原文の説明を表示しています。