pathology-roi-selector
Select and extract regions of interest (ROI) from whole slide images (WSI) for AI training data preparation and pathology research.
npx skills add majiayu000/claude-skill-registry --skill pathology-roi-selector --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Pathology ROI Selector Select and extract regions of interest from whole slide images (WSI) for AI model training, tissue microarray creation, and pathology research. ## Input Validation This skill accepts: whole slide image files (SVS, NDPI, TIFF, or compatible WSI formats) for automated region of interest selection and extraction. If the request does not involve selecting ROIs from a whole slide image — for example, asking to perform cell segmentation, run stain normalization, or analyze non-pathology images — do not proceed. Instead respond: > "pathology-roi-selector is designed to select and extract regions of interest from whole slide images. Your request appears to be outside this scope. Please provide a WSI file path with tissue type parameters, or use a more appropriate tool for your task." ## When to Use - Extracting tumor-rich or tissue-specific regions from whole slide images for AI training datasets - Creating tissue microarray sampling coordinates - Generating quality-controlled crops for pathology education or research - Automating ROI selection with reproducible, documented parameters ## Quick Check ```bash python -m py_compile scripts/main.py python scripts/main.p
- Input Validation
- When to Use
- Quick Check
- Workflow
- Parameters
- Usage
- Output
- Example
- Error Handling
- Fallback Template
- Response Template
- Prerequisites
python -m py_compile scripts/main.py python scripts/main.py --help pip install openslide-python # required for real WSI analysis
What does the pathology-roi-selector skill do?
Select and extract regions of interest (ROI) from whole slide images (WSI) for AI training data preparation and pathology research.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill pathology-roi-selector --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.