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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.

Suggest better variable, function, and class names based on context and conventions.

Analyze events through the disciplinary lens of computer science, applying computational theory (complexity, computability, information theory), algorithmic thinking, systems design principles, software engineering practices, and security frameworks to evaluate technical feasibility, assess scalability, understand computational limits, design efficient solutions, and identify systemic risks in computing systems.

Purpose: Guide robust, testable in-app purchase implementation StoreKit Version: StoreKit 2 iOS Version: iOS 15+ (iOS 18.4+ for latest features) Xcode: Xcode 13+ (Xcode 16+ recommended) Context: WWDC 2025-241, 2025-249, 2023-10013, 2021-10114

$21

Orchestrates a multi-step planning process: Research → Interview → Spec Synthesis → Plan → External Review → Sections

Use this skill whenever you are dealing with HeyGen API code to obtain domain-specific knowledge for creating AI avatar videos, managing avatars, handling video generation workflows, and integrating with HeyGen's services.

Gtars is a high-performance Rust toolkit for manipulating, analyzing, and processing genomic interval data. It provides specialized tools for overlap detection, coverage analysis, tokenization for machine learning, and reference sequence management.

Search across your personal Yuque knowledge bases using natural language, read relevant documents, and synthesize a clear answer with references.

You MUST use this skill for ANY data persistence, database, axiom-storage, CloudKit, or serialization work.