ts-figure-optimize
The suite's SOLE figure vectorizer: turn ONE raster scientific figure (a PNG/JPG, e.g. a gpt-image-2 schematic) into an editable, publication-ready figure via DrawAI's **key-free HYBRID** — local perception (SAM3 region detection + PaddleOCR + Box-IR layout, no account) then a deterministic hybrid build that keeps the approved render **pixel-exact** (a whole-canvas raster) and lays an **editable <text> overlay** on top (~0.91 SSIM), exported as a self-contained SVG + vector PDF + an editable PPTX. The render's full richness is preserved EXACTLY (it IS the approved image) while every label beco
Try your first task
A source-grounded starter task has not been verified for this skill yet.
Inside SKILL.md
256 linesSection content has not been verified for this skill yet.
Full source remains withheld under the current source-display policy. Read the author’s source ↗