What problem does it solve?
Manim-video removes the burden of manually planning, writing, rendering, and polishing complex math/algorithm animations so the output feels like an intentional educational video rather than ad-hoc slides.
Core Features & Use Cases
- Narrative-first scene planning: turns a prompt into a narrative arc with scene beats, visual elements, and a color/typography plan.
- Full production pipeline: generates Manim CE code, renders drafts/production quality, stitches scenes into a final MP4, and optionally adds audio.
- Pedagogical visual standards: enforces “geometry before algebra,” opacity layering for focus, breathing room with self.wait(), cohesive visual language, and scene pacing.
- Supports common educational formats: concept explainers, equation derivations, algorithm visualizations, data stories, and architecture/paper-style explainers.
Quick Start
Use the manim-video skill to create an animated explainer from the prompt "Explain how neural networks learn step by step," following the skill’s plan-to-code-to-render pipeline.
