What problem does it solve?
Adding visual emphasis to edited Chinese talking-head videos usually means manual motion graphics work that breaks whenever the edit changes. This Skill places HTML overlay layers (highlight circles, full-screen Xiaohei-style animations, zoom-ins) on top of screen recordings, bound to subtitle cues so layers automatically follow re-edits instead of drifting out of sync.
Core Features & Use Cases
- Cue-bound overlay layers: Layers attach to subtitle cues via the videocut CLI (
visual add --cues), never to raw timestamps, so edits to the cut automatically reposition every layer.
- Four-step evidence-driven workflow: Segment by transcript semantics, extract 8-12 frames per segment, measure motion windows via pixel diffs, then build and place modules — preventing annotations from covering real evidence or floating over scrolling content.
- Measured, not eyeballed geometry: Circle coordinates come from grayscale pixel scans, interaction moments from frame-to-frame pixel deltas, and zoom is capped at 1.6x to avoid blurry upscaling.
- Registered animation styles: Full-screen animations use the Xiaohei hand-drawn SVG/GSAP style registry with official brand glyphs, driven frame-by-frame by the player through
videocut:seek messages.
- Use Case: After cutting a tutorial video where the host demos a dashboard, use this Skill to circle the exact UI element being named at each moment, insert a Xiaohei animation over a blank conceptual segment, and preview every layer frame-by-frame before export.
Quick Start
Ask the agent to storyboard visuals for the current project so it reads the subtitles, extracts frames, measures motion windows, and adds annotation layers for your review.