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Five new reference files expanding the skill from rendering knowledge into production methodology: animation-design-thinking.md (161 lines): When to animate vs show static, concept decomposition into visual beats, pacing rules, narration sync, equation reveal strategies, architecture diagram patterns, common design mistakes. updaters-and-trackers.md (260 lines): Deep ValueTracker mental model, lambda/time-based/always_redraw updaters, DecimalNumber and Variable live displays, animation-based updaters, 4 complete practical patterns (dot tracing, live area, connected diagram, parameter exploration). paper-explainer.md (255 lines): Full workflow for turning research papers into animations. Audience selection, 5-minute template, pre-code gates (narration, scene list, style contract), equation reveal strategies, architecture diagram building, results animation, domain-specific patterns for ML/physics/ biomedical papers. decorations.md (202 lines): SurroundingRectangle, BackgroundRectangle, Brace, arrows (straight, curved, labeled), DashedLine, Angle/RightAngle, Cross, Underline, color highlighting workflows, annotation lifecycle pattern. production-quality.md (190 lines): Pre-code, pre-render, post-render checklists. Text overlap prevention, spatial layout coordinate budget, max simultaneous elements, animation variety audit, tempo curve, color consistency, data viz minimums. Total skill now: 14 reference files, 2614 lines. |
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Manim Video Skill
Production pipeline for mathematical and technical animations using Manim Community Edition.
What it does
Creates 3Blue1Brown-style animated videos from text prompts. The agent handles the full pipeline: creative planning, Python code generation, rendering, scene stitching, and iterative refinement.
Use cases
- Concept explainers — "Explain how neural networks learn"
- Equation derivations — "Animate the proof of the Pythagorean theorem"
- Algorithm visualizations — "Show how quicksort works step by step"
- Data stories — "Animate our before/after performance metrics"
- Architecture diagrams — "Show our microservice architecture building up"
Prerequisites
Python 3.10+, Manim CE (pip install manim), LaTeX, ffmpeg.
bash skills/creative/manim-video/scripts/setup.sh