Use for medical-image AI: tumor/cancer detection & classification, brain tumor MRI, mammography (benign vs malignant), chest X-ray, CT, histopathology, retinal/fundus, ultrasound, dermoscopy. Encodes hard-won rigor: patient-level splits (no leakage), medical preprocessing (CLAHE, ROI/organ cropping, artifact/pectoral removal), clinical operating points (high sensitivity), probability calibration, and skepticism toward inflated ROI-crop/leaky benchmark numbers. Triggers on 'detect cancer/tumor', 'MRI/CT/X-ray/mammogram/histopathology classification', 'benign vs malignant', 'medical images'.
$npx -y skills add mxslr/mlcraft --skill domain-medical-imagingInstalls into the current project.
Run `npx skills use "https://github.com/mxslr/mlcraft" --skill "mxslr/mlcraft/domain-medical-imaging"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mxslr/mlcraft" that are relevant to the current task. Run `npx skills add "https://github.com/mxslr/mlcraft"` and select the relevant skills, then follow their instructions.