What problem does it solve? Creating mathematical and technical explainer animations requires coordinating narrative planning, Manim Python code, rendering, scene stitching, and audio — a pipeline that is error-prone and slow to iterate manually. ## Core Features & Use Cases - Full production pipeline: Plan narrative arcs, write one Manim scene class per scene, render at draft or production quality, stitch clips with ffmpeg, and optionally add TTS voiceover. - Multiple video modes: Concept explainers, equation derivations, algorithm visualizations, data stories, architecture diagrams, paper explainers, and 3D visualizations. - Design system built in: Color palettes, typography scale, animation timing tables, opacity layering rules, and production-quality checklists enforce a cohesive 3Blue1Brown visual style. - Use Case: Ask for an animated proof of the Pythagorean theorem — the Skill writes a plan, generates scene code, renders each scene, and stitches a final MP4. ## Quick Start Ask the agent to create a Manim animation explaining how gradient descent works, and it will plan, code, render, and stitch the video for you.
