What problem does it solve?
Turning Chinese articles, scripts, or storyboard scenes into hand-drawn comic-style motion illustrations usually means raster image generation that cannot be edited, timed to narration, or reused. This Skill rebuilds one cognitive idea from your content as a semantic, layered HTML/SVG scene animated with GSAP, so every element stays controllable and cue-aligned.
Core Features & Use Cases
- Semantic SVG scene building: Rebuilds compositions as named SVG groups (Xiaohei, inputs, outputs, annotations) instead of auto-vectorized path soup, following strict style, layering, and motion rules.
- GSAP timeline animation with cue mapping: Animates objects with x/y/rotation/scale and stroke drawing, maps timeline labels to spoken narration, and supports
?static=1 and ?frame=mid review modes.
- Reusable assets and templates: Ships an icon library (ChatGPT, Claude, DeepSeek, Qwen, and common task icons) plus two starter templates for comic motion scenes and multi-variant series.
- Use Case: Given a Chinese 口播 script about a workflow bottleneck, produce a 16:9 white-canvas animation where Xiaohei physically performs the metaphor (carrying, bridging, filtering), with staged red/blue/orange annotations aligned to subtitle timing.
Quick Start
Ask the agent to use ian-xiaohei-svg-motion to turn your Chinese article or script into a Xiaohei-style HTML/SVG motion illustration with a playable page and static preview.