[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6C36B1JM956J6DF13QG2FP3":3,"skill-same:01M6C36B1JM956J6DF13QG2FP3":145},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M6C36B1JM956J6DF13QG2FP3","manim-video",null,"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\u002Fmathematical content.","jleechanorg\u002Fjleechan-skills","jleechanorg","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F221404966?v=4","01M6C1VJ99XG950X1DWPEBCBGX","01M6C1VJDK5YVDNT3362RT5WSB",6,"MIT","https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills\u002Fblob\u002Fmain\u002Fhermes\u002Fskills\u002Fcreative\u002Fmanim-video\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"manim","Video","manim video","technical","when","animations","request","for","concept","programmatic","community","diagrams","use","math","architecture","explainer","visualizations","Animation","Production","pipeline","data","content","architecture diagrams","2026-11-10 10:12:30",false,"---\nname: manim-video\ndescription: \"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\u002Fmathematical content.\"\nversion: 1.0.0\n---\n\n# Manim Video Production Pipeline\n\n## Creative Standard\n\nThis is educational cinema. Every frame teaches. Every animation reveals structure.\n\n**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.\n\n**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.\n\n**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.\n\n**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.\n\n**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.\n\n**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.\n\n## Prerequisites\n\nRun `scripts\u002Fsetup.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.\n\n## Modes\n\n| Mode | Input | Output | Reference |\n|------|-------|--------|-----------|\n| **Concept explainer** | Topic\u002Fconcept | Animated explanation with geometric intuition | `references\u002Fscene-planning.md` |\n| **Equation derivation** | Math expressions | Step-by-step animated proof | `references\u002Fequations.md` |\n| **Algorithm visualization** | Algorithm description | Step-by-step execution with data structures | `references\u002Fgraphs-and-data.md` |\n| **Data story** | Data\u002Fmetrics | Animated charts, comparisons, counters | `references\u002Fgraphs-and-data.md` |\n| **Architecture diagram** | System description | Components building up with connections | `references\u002Fmobjects.md` |\n| **Paper explainer** | Research paper | Key findings and methods animated | `references\u002Fscene-planning.md` |\n| **3D visualization** | 3D concept | Rotating surfaces, parametric curves, spatial geometry | `references\u002Fcamera-and-3d.md` |\n\n## Stack\n\nSingle Python script per project. No browser, no Node.js, no GPU required.\n\n| Layer | Tool | Purpose |\n|-------|------|---------|\n| Core | Manim Community Edition | Scene rendering, animation engine |\n| Math | LaTeX (texlive\u002FMiKTeX) | Equation rendering via `MathTex` |\n| Video I\u002FO | ffmpeg | Scene stitching, format conversion, audio muxing |\n| TTS | ElevenLabs \u002F Qwen3-TTS (optional) | Narration voiceover |\n\n## Pipeline\n\n```\nPLAN --> CODE --> RENDER --> STITCH --> AUDIO (optional) --> REVIEW\n```\n\n1. **PLAN** — Write `plan.md` with narrative arc, scene list, visual elements, color palette, voiceover script\n2. **CODE** — Write `script.py` with one class per scene, each independently renderable\n3. **RENDER** — `manim -ql script.py Scene1 Scene2 ...` for draft, `-qh` for production\n4. **STITCH** — ffmpeg concat of scene clips into `final.mp4`\n5. **AUDIO** (optional) — Add voiceover and\u002For background music via ffmpeg. See `references\u002Frendering.md`\n6. **REVIEW** — Render preview stills, verify against plan, adjust\n\n## Project Structure\n\n```\nproject-name\u002F\n  plan.md                # Narrative arc, scene breakdown\n  script.py              # All scenes in one file\n  concat.txt             # ffmpeg scene list\n  final.mp4              # Stitched output\n  media\u002F                 # Auto-generated by Manim\n    videos\u002Fscript\u002F480p15\u002F\n```\n\n## Creative Direction\n\n### Color Palettes\n\n| Palette | Background | Primary | Secondary | Accent | Use case |\n|---------|-----------|---------|-----------|--------|----------|\n| **Classic 3B1B** | `#1C1C1C` | `#58C4DD` (BLUE) | `#83C167` (GREEN) | `#FFFF00` (YELLOW) | General math\u002FCS |\n| **Warm academic** | `#2D2B55` | `#FF6B6B` | `#FFD93D` | `#6BCB77` | Approachable |\n| **Neon tech** | `#0A0A0A` | `#00F5FF` | `#FF00FF` | `#39FF14` | Systems, architecture |\n| **Monochrome** | `#1A1A2E` | `#EAEAEA` | `#888888` | `#FFFFFF` | Minimalist |\n\n### Animation Speed\n\n| Context | run_time | self.wait() after |\n|---------|----------|-------------------|\n| Title\u002Fintro appear | 1.5s | 1.0s |\n| Key equation reveal | 2.0s | 2.0s |\n| Transform\u002Fmorph | 1.5s | 1.5s |\n| Supporting label | 0.8s | 0.5s |\n| FadeOut cleanup | 0.5s | 0.3s |\n| \"Aha moment\" reveal | 2.5s | 3.0s |\n\n### Typography Scale\n\n| Role | Font size | Usage |\n|------|-----------|-------|\n| Title | 48 | Scene titles, opening text |\n| Heading | 36 | Section headers within a scene |\n| Body | 30 | Explanatory text |\n| Label | 24 | Annotations, axis labels |\n| Caption | 20 | Subtitles, fine print |\n\n### Fonts\n\n**Use monospace fonts for all text.** Manim's Pango renderer produces broken kerning with proportional fonts at all sizes. See `references\u002Fvisual-design.md` for full recommendations.\n\n```python\nMONO = \"Menlo\"  # define once at top of file\n\nText(\"Fourier Series\", font_size=48, font=MONO, weight=BOLD)  # titles\nText(\"n=1: sin(x)\", font_size=20, font=MONO)                  # labels\nMathTex(r\"\\nabla L\")                                            # math (uses LaTeX)\n```\n\nMinimum `font_size=18` for readability.\n\n### Per-Scene Variation\n\nNever use identical config for all scenes. For each scene:\n- **Different dominant color** from the palette\n- **Different layout** — don't always center everything\n- **Different animation entry** — vary between Write, FadeIn, GrowFromCenter, Create\n- **Different visual weight** — some scenes dense, others sparse\n\n## Workflow\n\n### Step 1: Plan (plan.md)\n\nBefore any code, write `plan.md`. See `references\u002Fscene-planning.md` for the comprehensive template.\n\n### Step 2: Code (script.py)\n\nOne class per scene. Every scene is independently renderable.\n\n```python\nfrom manim import *\n\nBG = \"#1C1C1C\"\nPRIMARY = \"#58C4DD\"\nSECONDARY = \"#83C167\"\nACCENT = \"#FFFF00\"\nMONO = \"Menlo\"\n\nclass Scene1_Introduction(Scene):\n    def construct(self):\n        self.camera.background_color = BG\n        title = Text(\"Why Does This Work?\", font_size=48, color=PRIMARY, weight=BOLD, font=MONO)\n        self.add_subcaption(\"Why does this work?\", duration=2)\n        self.play(Write(title), run_time=1.5)\n        self.wait(1.0)\n        self.play(FadeOut(title), run_time=0.5)\n```\n\nKey patterns:\n- **Subtitles** on every animation: `self.add_subcaption(\"text\", duration=N)` or `subcaption=\"text\"` on `self.play()`\n- **Shared color constants** at file top for cross-scene consistency\n- **`self.camera.background_color`** set in every scene\n- **Clean exits** — FadeOut all mobjects at scene end: `self.play(FadeOut(Group(*self.mobjects)))`\n\n### Step 3: Render\n\n```bash\nmanim -ql script.py Scene1_Introduction Scene2_CoreConcept  # draft\nmanim -qh script.py Scene1_Introduction Scene2_CoreConcept  # production\n```\n\n### Step 4: Stitch\n\n```bash\ncat > concat.txt \u003C\u003C 'EOF'\nfile 'media\u002Fvideos\u002Fscript\u002F480p15\u002FScene1_Introduction.mp4'\nfile 'media\u002Fvideos\u002Fscript\u002F480p15\u002FScene2_CoreConcept.mp4'\nEOF\nffmpeg -y -f concat -safe 0 -i concat.txt -c copy final.mp4\n```\n\n### Step 5: Review\n\n```bash\nmanim -ql --format=png -s script.py Scene2_CoreConcept  # preview still\n```\n\n## Critical Implementation Notes\n\n### Raw Strings for LaTeX\n```python\n# WRONG: MathTex(\"\\frac{1}{2}\")\n# RIGHT:\nMathTex(r\"\\frac{1}{2}\")\n```\n\n### buff >= 0.5 for Edge Text\n```python\nlabel.to_edge(DOWN, buff=0.5)  # never \u003C 0.5\n```\n\n### FadeOut Before Replacing Text\n```python\nself.play(ReplacementTransform(note1, note2))  # not Write(note2) on top\n```\n\n### Never Animate Non-Added Mobjects\n```python\nself.play(Create(circle))  # must add first\nself.play(circle.animate.set_color(RED))  # then animate\n```\n\n## Performance Targets\n\n| Quality | Resolution | FPS | Speed |\n|---------|-----------|-----|-------|\n| `-ql` (draft) | 854x480 | 15 | 5-15s\u002Fscene |\n| `-qm` (medium) | 1280x720 | 30 | 15-60s\u002Fscene |\n| `-qh` (production) | 1920x1080 | 60 | 30-120s\u002Fscene |\n\nAlways iterate at `-ql`. Only render `-qh` for final output.\n\n## References\n\n| File | Contents |\n|------|----------|\n| `references\u002Fanimations.md` | Core animations, rate functions, composition, `.animate` syntax, timing patterns |\n| `references\u002Fmobjects.md` | Text, shapes, VGroup\u002FGroup, positioning, styling, custom mobjects |\n| `references\u002Fvisual-design.md` | 12 design principles, opacity layering, layout templates, color palettes |\n| `references\u002Fequations.md` | LaTeX in Manim, TransformMatchingTex, derivation patterns |\n| `references\u002Fgraphs-and-data.md` | Axes, plotting, BarChart, animated data, algorithm visualization |\n| `references\u002Fcamera-and-3d.md` | MovingCameraScene, ThreeDScene, 3D surfaces, camera control |\n| `references\u002Fscene-planning.md` | Narrative arcs, layout templates, scene transitions, planning template |\n| `references\u002Frendering.md` | CLI reference, quality presets, ffmpeg, voiceover workflow, GIF export |\n| `references\u002Ftroubleshooting.md` | LaTeX errors, animation errors, common mistakes, debugging |\n| `references\u002Fanimation-design-thinking.md` | When to animate vs show static, decomposition, pacing, narration sync |\n| `references\u002Fupdaters-and-trackers.md` | ValueTracker, add_updater, always_redraw, time-based updaters, patterns |\n| `references\u002Fpaper-explainer.md` | Turning research papers into animations — workflow, templates, domain patterns |\n| `references\u002Fdecorations.md` | SurroundingRectangle, Brace, arrows, DashedLine, Angle, annotation lifecycle |\n| `references\u002Fproduction-quality.md` | Pre-code, pre-render, post-render checklists, spatial layout, color, tempo |\n\n---\n\n## Creative Divergence (use only when user requests experimental\u002Fcreative\u002Funique output)\n\nIf the user asks for creative, experimental, or unconventional explanatory approaches, select a strategy and reason through it BEFORE designing the animation.\n\n- **SCAMPER** — when the user wants a fresh take on a standard explanation\n- **Assumption Reversal** — when the user wants to challenge how something is typically taught\n\n### SCAMPER Transformation\nTake a standard mathematical\u002Ftechnical visualization and transform it:\n- **Substitute**: replace the standard visual metaphor (number line → winding path, matrix → city grid)\n- **Combine**: merge two explanation approaches (algebraic + geometric simultaneously)\n- **Reverse**: derive backward — start from the result and deconstruct to axioms\n- **Modify**: exaggerate a parameter to show why it matters (10x the learning rate, 1000x the sample size)\n- **Eliminate**: remove all notation — explain purely through animation and spatial relationships\n\n### Assumption Reversal\n1. List what's \"standard\" about how this topic is visualized (left-to-right, 2D, discrete steps, formal notation)\n2. Pick the most fundamental assumption\n3. Reverse it (right-to-left derivation, 3D embedding of a 2D concept, continuous morphing instead of steps, zero notation)\n4. Explore what the reversal reveals that the standard approach hides\n","# Manim Video Production Pipeline\n\n## Creative Standard\n\nThis is educational cinema. Every frame teaches. Every animation reveals structure.\n\n**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.\n\n**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.\n\n**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.\n\n**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.\n\n**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.\n\n**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.\n\n## Prerequisites\n\nRun `scripts\u002Fsetup.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.\n\n## Modes\n\n| Mode | Input | Output | Reference |\n|------|-------|--------|-----------|\n| **Concept explainer** | Topic\u002Fconcept | Animated explanation with geometric intuition | `references\u002Fscene-planning.md` |\n| **Equation derivation** | Math expressions | Step-by-step animated proof | `references\u002Fequations.md` |\n| **Algorithm visualization** | Algorithm description | Step-by-step execution with data structures | `references\u002Fgraphs-and-data.md` |\n| **Data story** | Data\u002Fmetrics | Animated charts, comparisons, counters | `references\u002Fgraphs-and-data.md` |\n| **Architecture diagram** | System description | Components building up with connections | `references\u002Fmobjects.md` |\n| **Paper explainer** | Research paper | Key findings and methods animated | `references\u002Fscene-planning.md` |\n| **3D visualization** | 3D concept | Rotating surfaces, parametric curves, spatial geometry | `references\u002Fcamera-and-3d.md` |\n\n## Stack\n\nSingle Python script per project. No browser, no Node.js, no GPU required.\n\n| Layer | Tool | Purpose |\n|-------|------|---------|\n| Core | Manim Community Edition | Scene rendering, animation engine |\n| Math | LaTeX (texlive\u002FMiKTeX) | Equation rendering via `MathTex` |\n| Video I\u002FO | ffmpeg | Scene stitching, format conversion, audio muxing |\n| TTS | ElevenLabs \u002F Qwen3-TTS (optional) | Narration voiceover |\n\n## Pipeline\n\n```\nPLAN --> CODE --> RENDER --> STITCH --> AUDIO (optional) --> REVIEW\n```\n\n1. **PLAN** — Write `plan.md` with narrative arc, scene list, visual elements, color palette, voiceover script\n2. **CODE** — Write `script.py` with one class per scene, each independently renderable\n3. **RENDER** — `manim -ql script.py Scene1 Scene2 ...` for draft, `-qh` for production\n4. **STITCH** — ffmpeg concat of scene clips into `final.mp4`\n5. **AUDIO** (optional) — Add voiceover and\u002For background music via ffmpeg. See `references\u002Frendering.md`\n6. **REVIEW** — Render preview stills, verify against plan, adjust\n\n## Project Structure\n\n```\nproject-name\u002F\n  plan.md                # Narrative arc, scene breakdown\n  script.py              # All scenes in one file\n  concat.txt             # ffmpeg scene list\n  final.mp4              # Stitched output\n  media\u002F                 # Auto-generated by Manim\n    videos\u002Fscript\u002F480p15\u002F\n```\n\n## Creative Direction\n\n### Color Palettes\n\n| Palette | Background | Primary | Secondary | Accent | Use case |\n|---------|-----------|---------|-----------|--------|----------|\n| **Classic 3B1B** | `#1C1C1C` | `#58C4DD` (BLUE) | `#83C167` (GREEN) | `#FFFF00` (YELLOW) | General math\u002FCS |\n| **Warm academic** | `#2D2B55` | `#FF6B6B` | `#FFD93D` | `#6BCB77` | Approachable |\n| **Neon tech** | `#0A0A0A` | `#00F5FF` | `#FF00FF` | `#39FF14` | Systems, architecture |\n| **Monochrome** | `#1A1A2E` | `#EAEAEA` | `#888888` | `#FFFFFF` | Minimalist |\n\n### Animation Speed\n\n| Context | run_time | self.wait() after |\n|---------|----------|-------------------|\n| Title\u002Fintro appear | 1.5s | 1.0s |\n| Key equation reveal | 2.0s | 2.0s |\n| Transform\u002Fmorph | 1.5s | 1.5s |\n| Supporting label | 0.8s | 0.5s |\n| FadeOut cleanup | 0.5s | 0.3s |\n| \"Aha moment\" reveal | 2.5s | 3.0s |\n\n### Typography Scale\n\n| Role | Font size | Usage |\n|------|-----------|-------|\n| Title | 48 | Scene titles, opening text |\n| Heading | 36 | Section headers within a scene |\n| Body | 30 | Explanatory text |\n| Label | 24 | Annotations, axis labels |\n| Caption | 20 | Subtitles, fine print |\n\n### Fonts\n\n**Use monospace fonts for all text.** Manim's Pango renderer produces broken kerning with proportional fonts at all sizes. See `references\u002Fvisual-design.md` for full recommendations.\n\n```python\nMONO = \"Menlo\"  # define once at top of file\n\nText(\"Fourier Series\", font_size=48, font=MONO, weight=BOLD)  # titles\nText(\"n=1: sin(x)\", font_size=20, font=MONO)                  # labels\nMathTex(r\"\\nabla L\")                                            # math (uses LaTeX)\n```\n\nMinimum `font_size=18` for readability.\n\n### Per-Scene Variation\n\nNever use identical config for all scenes. For each scene:\n- **Different dominant color** from the palette\n- **Different layout** — don't always center everything\n- **Different animation entry** — vary between Write, FadeIn, GrowFromCenter, Create\n- **Different visual weight** — some scenes dense, others sparse\n\n## Workflow\n\n### Step 1: Plan (plan.md)\n\nBefore any code, write `plan.md`. See `references\u002Fscene-planning.md` for the comprehensive template.\n\n### Step 2: Code (script.py)\n\nOne class per scene. Every scene is independently renderable.\n\n```python\nfrom manim import *\n\nBG = \"#1C1C1C\"\nPRIMARY = \"#58C4DD\"\nSECONDARY = \"#83C167\"\nACCENT = \"#FFFF00\"\nMONO = \"Menlo\"\n\nclass Scene1_Introduction(Scene):\n    def construct(self):\n        self.camera.background_color = BG\n        title = Text(\"Why Does This Work?\", font_size=48, color=PRIMARY, weight=BOLD, font=MONO)\n        self.add_subcaption(\"Why does this work?\", duration=2)\n        self.play(Write(title), run_time=1.5)\n        self.wait(1.0)\n        self.play(FadeOut(title), run_time=0.5)\n```\n\nKey patterns:\n- **Subtitles** on every animation: `self.add_subcaption(\"text\", duration=N)` or `subcaption=\"text\"` on `self.play()`\n- **Shared color constants** at file top for cross-scene consistency\n- **`self.camera.background_color`** set in every scene\n- **Clean exits** — FadeOut all mobjects at scene end: `self.play(FadeOut(Group(*self.mobjects)))`\n\n### Step 3: Render\n\n```bash\nmanim -ql script.py Scene1_Introduction Scene2_CoreConcept  # draft\nmanim -qh script.py Scene1_Introduction Scene2_CoreConcept  # production\n```\n\n### Step 4: Stitch\n\n```bash\ncat > concat.txt \u003C\u003C 'EOF'\nfile 'media\u002Fvideos\u002Fscript\u002F480p15\u002FScene1_Introduction.mp4'\nfile 'media\u002Fvideos\u002Fscript\u002F480p15\u002FScene2_CoreConcept.mp4'\nEOF\nffmpeg -y -f concat -safe 0 -i concat.txt -c copy final.mp4\n```\n\n### Step 5: Review\n\n```bash\nmanim -ql --format=png -s script.py Scene2_CoreConcept  # preview still\n```\n\n## Critical Implementation Notes\n\n### Raw Strings for LaTeX\n```python\n# WRONG: MathTex(\"\\frac{1}{2}\")\n# RIGHT:\nMathTex(r\"\\frac{1}{2}\")\n```\n\n### buff >= 0.5 for Edge Text\n```python\nlabel.to_edge(DOWN, buff=0.5)  # never \u003C 0.5\n```\n\n### FadeOut Before Replacing Text\n```python\nself.play(ReplacementTransform(note1, note2))  # not Write(note2) on top\n```\n\n### Never Animate Non-Added Mobjects\n```python\nself.play(Create(circle))  # must add first\nself.play(circle.animate.set_color(RED))  # then animate\n```\n\n## Performance Targets\n\n| Quality | Resolution | FPS | Speed |\n|---------|-----------|-----|-------|\n| `-ql` (draft) | 854x480 | 15 | 5-15s\u002Fscene |\n| `-qm` (medium) | 1280x720 | 30 | 15-60s\u002Fscene |\n| `-qh` (production) | 1920x1080 | 60 | 30-120s\u002Fscene |\n\nAlways iterate at `-ql`. Only render `-qh` for final output.\n\n## References\n\n| File | Contents |\n|------|----------|\n| `references\u002Fanimations.md` | Core animations, rate functions, composition, `.animate` syntax, timing patterns |\n| `references\u002Fmobjects.md` | Text, shapes, VGroup\u002FGroup, positioning, styling, custom mobjects |\n| `references\u002Fvisual-design.md` | 12 design principles, opacity layering, layout templates, color palettes |\n| `references\u002Fequations.md` | LaTeX in Manim, TransformMatchingTex, derivation patterns |\n| `references\u002Fgraphs-and-data.md` | Axes, plotting, BarChart, animated data, algorithm visualization |\n| `references\u002Fcamera-and-3d.md` | MovingCameraScene, ThreeDScene, 3D surfaces, camera control |\n| `references\u002Fscene-planning.md` | Narrative arcs, layout templates, scene transitions, planning template |\n| `references\u002Frendering.md` | CLI reference, quality presets, ffmpeg, voiceover workflow, GIF export |\n| `references\u002Ftroubleshooting.md` | LaTeX errors, animation errors, common mistakes, debugging |\n| `references\u002Fanimation-design-thinking.md` | When to animate vs show static, decomposition, pacing, narration sync |\n| `references\u002Fupdaters-and-trackers.md` | ValueTracker, add_updater, always_redraw, time-based updaters, patterns |\n| `references\u002Fpaper-explainer.md` | Turning research papers into animations — workflow, templates, domain patterns |\n| `references\u002Fdecorations.md` | SurroundingRectangle, Brace, arrows, DashedLine, Angle, annotation lifecycle |\n| `references\u002Fproduction-quality.md` | Pre-code, pre-render, post-render checklists, spatial layout, color, tempo |\n\n---\n\n## Creative Divergence (use only when user requests experimental\u002Fcreative\u002Funique output)\n\nIf the user asks for creative, experimental, or unconventional explanatory approaches, select a strategy and reason through it BEFORE designing the animation.\n\n- **SCAMPER** — when the user wants a fresh take on a standard explanation\n- **Assumption Reversal** — when the user wants to challenge how something is typically taught\n\n### SCAMPER Transformation\nTake a standard mathematical\u002Ftechnical visualization and transform it:\n- **Substitute**: replace the standard visual metaphor (number line → winding path, matrix → city grid)\n- **Combine**: merge two explanation approaches (algebraic + geometric simultaneously)\n- **Reverse**: derive backward — start from the result and deconstruct to axioms\n- **Modify**: exaggerate a parameter to show why it matters (10x the learning rate, 1000x the sample size)\n- **Eliminate**: remove all notation — explain purely through animation and spatial relationships\n\n### Assumption Reversal\n1. List what's \"standard\" about how this topic is visualized (left-to-right, 2D, discrete steps, formal notation)\n2. Pick the most fundamental assumption\n3. Reverse it (right-to-left derivation, 3D embedding of a 2D concept, continuous morphing instead of steps, zero notation)\n4. Explore what the reversal reveals that the standard approach hides\n",{"name":5,"version":51,"description":7},"1.0.0","main","42ccd02cbf5e8e47839dc3eab6fc754dc6b339cf","hermes\u002Fskills\u002Fcreative\u002Fmanim-video",0,"https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills","https:\u002F\u002Fgithub.com\u002Fjleechanorg","2026-11-12 14:45:07",{"source":8,"skillName":5,"commands":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add jleechanorg\u002Fjleechan-skills --skill manim-video",{"tool":65,"command":66},"bunx","bunx skills add jleechanorg\u002Fjleechan-skills --skill manim-video",{"tool":68,"command":69},"pnpm","pnpm dlx skills add jleechanorg\u002Fjleechan-skills --skill 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when the user invokes \u002Finstinct or \u002Fin, or asks to \"message Instinct\", \"ask Instinct\", \"tell Instinct\", \"check Instinct\", or read replies from the configured peer assistant. iMessage first, WhatsApp Web as fallback.","https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Finstinct\u002FSKILL.md",[],[148,153,27,154,155,35,156,157,158,159,160,161],"user","replies","check","identity","whatsapp","gmail","read","message","ask",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":173,"publishedAt":46},"01M716Y4HF7FVVMJSA2CCVN5VF","hr","Compatibility alias for history-resume; produce the same fresh-state, provenance-aware resume briefing.","https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fhr\u002FSKILL.md",[168],{"categoryNo":169,"categoryName":170,"taxonomyType":171,"taxonomyTypeDesc":172},"01JBSEEDCAT000000000000038","人力资源","PROFESSION","适用职业",[164,174,175,176,30,177,178,179,180,181,182],"resume","compatibility","provenance","history","produce","alias","briefing","state","fresh",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":190,"publishedAt":46},"01M716Y1FFNFKFJYYKF8HQA6T8","history-resume","Resume briefing for the current repository branch or worktree using fresh state and admitted history sources.","https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fhistory-resume\u002FSKILL.md",[189],{"categoryNo":169,"categoryName":170,"taxonomyType":171,"taxonomyTypeDesc":172},[177,174,191,192,153,193,180,194,30,195,196,181,182],"history resume","branch","analysis","repository","worktree","sources",{"skillNo":198,"name":199,"nameZh":6,"description":200,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":201,"categories":202,"keywords":203,"publishedAt":46},"01M716XWXJ8EPHK4RH9T14TR85","grok","Alias for the canonical grokbot browser conversation workflow; \u002Fgrok talks to the Grok bot the same way \u002Fdot talks to Dot.","https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fgrok\u002FSKILL.md",[],[199,204,205,206,30,207,179,208,209,210],"dot","bot","workflow","canonical","conversation","browser","grokbot",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":215,"categories":216,"keywords":217,"publishedAt":46},"01M70N9Q07DTE0EW5KFXMMMSJ0","codexa-bench","Compare `codexa` and normal `codex` on a fair split of comparable work by default; use `--strict` for duplicate runs of the exact same task.","https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcodexa-bench\u002FSKILL.md",[],[218,219,220,35,221,30,222,223,224,225,226],"codexa 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Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML\u002FCSS layouts, or when styling\u002Fbeautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fjleechanorg\u002Fjleechan-skills\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Ffrontend-design\u002FSKILL.md",[235,238,241],{"categoryNo":236,"categoryName":237,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":239,"categoryName":240,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":242,"categoryName":243,"taxonomyType":171,"taxonomyTypeDesc":172},"01JBSEEDCAT000000000000032","设计师",[245,246,247,35,248,249,250,153,251,252,253,254,255,256,41,257,258,259,260,261,262,263,264,265,266,267,27,268],"frontend","design","frontend design","generic","ui design","react","html","components","code","artifacts","ui","aesthetics","web components","landing","applications","quality","web","css","create","examples","with","react components","web ui","pages"]