DRZ-hang
UserA scientific-accuracy layer for AI surgical & anatomical illustration — constrains the prompt before you draw and reviews the anatomy after. A skill for Claude Code & Codex.
Categories
Indexed Skills (2)
surgical-anatomy-illustration
Use for publication-grade surgical and anatomical illustration tasks, including operative anatomy, surgical step storyboards, anatomy plates, safety-critical landmarks, and journal-style medical visual planning. It outputs a three-part brief — a short Overview, a constrained copy-ready Prompt, and a bilingual scientific-accuracy QC checklist — and reviews any image for anatomical errors. It does NOT generate images; the user renders the prompt in their own image tool.
paper-figures
Produce publication-quality statistical figures and tables for scientific papers, end-to-end from the paper's own raw data using Python. Use this skill whenever the user wants to make, redo, or improve charts, plots, graphs, or tables for a manuscript, thesis, or grant — including requests like "draw a figure for this dataset", "make a bar/box/violin/forest/Kaplan-Meier plot", "I need a results table", "format my figures for Nature/Science/Cell/IEEE", "what chart should I use for this data", or "turn my CSV/Excel results into a figure for my paper". Trigger even when the user only shares a manuscript and data and asks where figures are needed. The skill reads the paper, finds where visuals are needed, picks the right statistics and chart type for the data, applies journal formatting, renders with Python, self-checks the rendered image, exports numbered assets, and writes a bilingual (中文/English) figure report with captions, annotations, and in-text citation locations.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.