prompt-lookup
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use…
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
Claude Code
$ npx -y skills add browser-use/video-use --skill manim-video --agent claude-code
Codex
$ npx skills add browser-use/video-use --skill manim-video -a codex -y
Cursor
$ npx skills add browser-use/video-use --skill manim-video -a cursor -y
Gemini CLI
$ npx skills add browser-use/video-use --skill manim-video -a gemini-cli -y
GitHub Copilot
$ npx skills add browser-use/video-use --skill manim-video -a github-copilot -y
OpenCode
$ npx skills add browser-use/video-use --skill manim-video -a opencode -y
Windsurf
$ npx skills add browser-use/video-use --skill manim-video -a windsurf -y
name: manim-video description: "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." version: 1.0.0
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 | ElevenLabs / Qwen3-TTS (optional) | Narration voiceover |
PLAN --> CODE --> RENDER --> STITCH --> AUDIO (optional) --> REVIEW
1. **PLAN** — Write `plan.md` with narrative arc, scene list, visual elements, color palette, voiceover script 2. **CODE** — Write `script.py` with one class per scene, each independently renderable 3. **RENDER** — `manim -ql script.py Scene1 Scene2 ...` for draft, `-qh` for production 4. **STITCH** — ffmpeg concat of scene clips into `final.mp4` 5. **AUDIO** (optional) — Add voiceover and/or background music via ffmpeg. See `references/rendering.md` 6. **REVIEW** — Render preview stills, verify against plan, adjust
project-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", fontIntroducing video-use — edit videos with Claude Code. 100% open source. Drop raw footage in a folder, chat with Claude Code, get final.mp4 back. Works for any content — talking heads, montages, tutorials, travel, interviews — without presets or menus.
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