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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.

Install

npx skills add jaechang-hits/SciAgent-Skills --skill napari-image-viewer -a claude-code

Installs to .claude/skills/napari-image-viewer/ · Each command fetches the skill straight from GitHub with the open skills CLI.

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Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

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Why 86

Security100
Provenance71
Maintenance100
Licence100
Adoption43

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