byjaechang-hits· 57 skills
Computer vision for bio-image preprocessing, feature detection, real-time microscopy. Color conversion, morphology, contour/blob detection, template matching, optical flow on fluorescence/brightfield. 10-100× faster than pure Python via C++. Use scikit-image for scientific morphometry/regionprops; OpenCV for real-time, video, classical feature extraction.
$npx -y skills add jaechang-hits/sciagent-skills --skill opencv-bioimage-analysisInstalls into the current project.
Run `npx skills use "https://github.com/jaechang-hits/sciagent-skills" --skill "jaechang-hits/sciagent-skills/opencv-bioimage-analysis"` 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/jaechang-hits/sciagent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/jaechang-hits/sciagent-skills"` and select the relevant skills, then follow their instructions.