Skill UI

Expert skill for building modern, production-ready Chrome Extensions using Manifest V3 standards. Covers advanced topics including service worker management, content script injection, secure cross-context communication (message passing), and implementing best practices like `declarativeNetRequest` and secure storage APIs.

PyTorch Geometric is a standard library for Graph Neural Networks built on PyTorch. It supports node, link, and graph classification, message passing algorithms like GCN and GAT, heterogeneous graphs, and neighbor sampling. Ideal for building scalable GNN models with custom datasets and transforms.

A comprehensive Rust client library for integrating with Azure Service Bus. It allows developers to send and receive messages reliably using both point-to-point queues (for competing consumers) and publish-subscribe topics. This skill is essential for building robust, event-driven, and highly available distributed applications in Rust that require durable message passing within the Azure cloud environment.

Expert guidance for building Chrome Extensions with Manifest V3, covering service workers, content scripts, message passing, permissions, storage, and security best practices. Ideal for creating new extensions or migrating from V2.

Audits cross-chain message passing protocols, cryptographic commitment trees, validator quorum consensus, replay protection, and withdrawal proofs. Provides standardized CSV, SQL DDL, and JSON Schema registers for relayer security compliance.