ClaudSkills / General / general-misc

Cellpose Cell Segmentation

Quality score: 70/100  ·  Category: General  ·  Sub-category: general-misc
DL cell/nucleus segmentation for fluorescence and brightfield microscopy. Pre-trained models (cyto3, nuclei, tissuenet) and a generalist flow-based algorithm segment cells without retraining. Outputs label masks for morphology and tracking. Use scikit-image watershed for rule-based; Cellpose when DL generalization across staining is needed.

What this skill does

Cellpose Cell Segmentation is a production-ready Claude Code skill (quality score 70/100) in the general-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/cellpose-cell-segmentation/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Cellpose Cell Segmentation skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It is part of the open ClaudSkills registry, a community-curated catalog of 15,000+ capabilities you can install for Claude Code — the Claude CLI agent.

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/cellpose-cell-segmentation
curl -L https://claudskills.com/skills/cellpose-cell-segmentation/SKILL.md \
  -o ~/.claude/skills/cellpose-cell-segmentation/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/cellpose-cell-segmentation/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/cellpose-cell-segmentation/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\cellpose-cell-segmentation\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

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Part of ClaudSkills — the open registry for Claude Code skills.  ·  What's New  ·  Install guide  ·  About  ·  llms.txt

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