ClaudSkills / Engineering / engineering-misc

Scikit Image Processing

Quality score: 70/100 · Category: Engineering · Sub-category: engineering-misc

lang:python

Python image processing for microscopy and bioimage analysis. Read/write images, filter (Gaussian, median, LoG), segment (thresholding, watershed, active contours), measure region properties, detect features. SciPy/NumPy ecosystem. Use OpenCV for real-time video; CellPose for DL cell segmentation; napari for visualization.

What this skill does

Scikit Image Processing is a production-ready Claude Code skill (quality score 70/100) in the engineering-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/scikit-image-processing/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Scikit Image Processing skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. 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/scikit-image-processing
curl -L https://claudskills.com/skills/scikit-image-processing/SKILL.md \
  -o ~/.claude/skills/scikit-image-processing/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/scikit-image-processing/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/scikit-image-processing/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\scikit-image-processing\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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