What problem does it solve? Creating mathematical and technical explainer animations requires coordinating narrative planning, Python scene code, rendering, video stitching, and audio muxing, which is tedious to do manually with Manim, LaTeX, and ffmpeg. ## Core Features & Use Cases - Full production pipeline: Plans narrative arcs, generates one Manim scene class per section, renders drafts at low quality, stitches clips with ffmpeg, and optionally adds TTS voiceover. - Multiple video modes: Supports concept explainers, equation derivations, algorithm visualizations, data stories, architecture diagrams, paper explainers, and 3D visualizations. - Design guidance: Provides color palettes, typography scales, animation timing rules, and production-quality checklists through detailed reference documents. - Use Case: Ask for an animated proof of the Pythagorean theorem and receive a planned, rendered, and stitched final.mp4 with consistent visual styling. ## Quick Start Use the manim-video skill to create an animated explainer video showing how quicksort works step by step.
