Individual skill
histolab
Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
cli-tool/components/skills/scientific/histolab/SKILL.md
Source commit ad81bf053f80b626801decf425f501ba49983d98
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 33,241
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- anthropic Repository topic
- anthropic-claude Repository topic
- claude Repository topic
- claude-code Repository topic
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code-plugins Repository topic
- cli Repository topic
- mcp Repository topic
- registry Repository topic
- education Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesSKILL.mdcore · 20,222 bytesreferences/filters_preprocessing.mddoc · 12,700 bytesreferences/slide_management.mddoc · 4,701 bytesreferences/tile_extraction.mddoc · 11,297 bytesreferences/tissue_masks.mddoc · 7,232 bytesreferences/visualization.mddoc · 13,970 bytes
Read excerpt
# Histolab
## Overview
Histolab is a Python library for processing whole slide images (WSI) in digital pathology. It automates tissue detection, extracts informative tiles from gigapixel images, and prepares datasets for deep learning pipelines. The library handles multiple WSI formats, implements sophisticated tissue segmentation, and provides flexible tile extraction strategies.
## Installation
```bash
uv pip install histolab
```
## Quick Start