byjaechang-hits· 57 skills
Interactive viewer for microscopy. Displays 2D/3D/4D arrays as Image, Labels, Points, Shapes, Tracks layers; supports annotation, plugin analysis, headless screenshots. Core visualization for Python bioimage workflows. Use ImageJ/FIJI for macro processing; napari for Python-native interactive visualization and DL segmentation review.
$npx -y skills add jaechang-hits/sciagent-skills --skill napari-image-viewerInstalls into the current project.
Run `npx skills use "https://github.com/jaechang-hits/sciagent-skills" --skill "jaechang-hits/sciagent-skills/napari-image-viewer"` 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.