scikit-image (Claude Skill)
Python image processing for microscopy and bioimage analysis.
| Type | Claude Skill |
| Supplier | jaechang-hits (community OSS, CC BY 4.0) |
| Availability | GA — part of the BixBench-evaluated SciAgent-Skills collection |
| Pricing | Free / OSS (BSD-3-Clause) |
| Capabilities | Read/Write — Claude runs the skill’s Python locally (Bash), not as an MCP tool |
How to install
SciAgent-Skills is not an npm package — skills are plain markdown read directly by the agent (no npx/npm).
- Claude Code — clone and load as a plugin:
git clone https://github.com/jaechang-hits/SciAgent-SkillsThen inside Claude Code run
/plugin install sciagent-skills(verify it appears under/plugin→ Installed). Clone into your project directory so Claude Code picks the skills up viaCLAUDE.md. - Manual / other agents — point the agent at the skill file directly:
cp -r SciAgent-Skills/skills/cell-biology/scikit-image-processing ~/.claude/skills/The skill declares its own Python dependencies in its
SKILL.md; install them when prompted on first use.
What it does
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.
Primary use cases: Python image processing for microscopy and bioimage analysis.
Notes
Distributed as a SKILL.md (plus code examples) in the SciAgent-Skills collection — Claude executes it locally via Bash/Python rather than as an MCP server. Upstream license: BSD-3-Clause. The skill directory upstream is skills/cell-biology/scikit-image-processing.
Sources
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