Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →lord1egypt/manim-video
Manim CE animations: 3Blue1Brown math/algo videos.
Passed 16 of 22 test cases with the skill, and 12 of 22 without it.
and 3 more in the full report
5 fixed11 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
When animating the key equation reveal in an explainer scene, what run_time duration and post-animation wait time should be configured for proper viewer pacing?
| Checked | Without skill | With skill |
|---|---|---|
| The equation reveal animation specifies a run_time of 2.0 seconds. | Missed | Passed |
| The post-animation wait pause is set to 2.0 seconds. | Missed | Passed |
The instructions your model reads when the skill loads.
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. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories using Manim Community Edition.
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 |
test cases passed, vs 12 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.