apple-notes
Manage Apple Notes via the memo CLI on macOS (create, view, search, edit).
Production pipeline for mathematical and technical animations using
$ npx -y skills add graniet/kheish --skill manim-video --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/manim-videoContext preview
The summary Claude sees to decide when to auto-load this skill.
Production pipeline for mathematical and technical animations using
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 skill is repo-local and stays inactive until explicitly activated.
When the original instructions refer to legacy tool names, use these Kheish mappings:
When the instructions mention local helper files, resolve them from `${KHEISH_SKILL_DIR}`.
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 |
###
Manage Apple Notes via the memo CLI on macOS (create, view, search, edit).
Manage Apple Reminders via remindctl CLI (list, add, complete, delete).
Track Apple devices and AirTags via FindMy.app on macOS using AppleScript
Send and receive iMessages/SMS via the imsg CLI on macOS.
Delegate coding tasks to Claude Code (Anthropic's CLI agent). Use for
--- description: Delegate coding tasks to OpenAI Codex CLI agent. Use for building features, refactoring, PR reviews, and batch…