Skill UI

Designs and implements immersive web experiences using Three.js, React Three Fiber, Spline, and WebGL, covering product configurators, portfolios, scroll-driven scenes, and performance-aware 3D delivery.

Guides bug bounty hunters through API fuzzing and penetration testing, covering REST, SOAP, and GraphQL recon, authentication bypass, IDOR methods, injections, method abuse, GraphQL attacks, and payload delivery techniques.

This library provides the Java SDK to interact with Azure Communication Services (ACS) for sending SMS messages. It supports sending messages to single or multiple recipients, enabling crucial features like delivery reports, custom tagging, and asynchronous operations. Ideal for implementing notification systems, two-factor authentication (OTP), or large-scale bulk messaging alerts.

This library provides the Java SDK to interact with Azure Communication Services (ACS) for sending SMS messages. It supports sending messages to single or multiple recipients, enabling crucial features like delivery reports, custom tagging, and asynchronous operations. Ideal for implementing notification systems, two-factor authentication (OTP), or large-scale bulk messaging alerts.

The official Azure Event Grid SDK for .NET. This comprehensive client library enables developers to easily publish, subscribe, and consume events using event-driven architecture patterns. It supports both push delivery (Topics/Domains) and pull delivery (Namespaces), handling standard EventGrid and CloudEvent formats. Ideal for building scalable, reactive microservices on Azure.

The official Azure Event Grid SDK for .NET. This comprehensive client library enables developers to easily publish, subscribe, and consume events using event-driven architecture patterns. It supports both push delivery (Topics/Domains) and pull delivery (Namespaces), handling standard EventGrid and CloudEvent formats. Ideal for building scalable, reactive microservices on Azure.

This SDK enables Java developers to build real-time, scalable web applications using Azure Web PubSub. It leverages WebSocket-based messaging to implement critical features such as live chat applications, instant server-to-client push notifications, and real-time data synchronization. Key functionalities include targeted message delivery (to all, groups, or specific users), connection management, and secure client access token generation.

Generates production-ready CI/CD configurations for GitHub Actions, GitLab CI, and Jenkins, covering testing, security, build, and deployment stages to automate software delivery pipelines and multi-environment releases.

This skill enables Claude to generate production-ready CI/CD pipeline configurations for major platforms, including GitHub Actions, GitLab CI, and Jenkins. It automates the entire software development lifecycle, supporting best practices for testing, building, security scanning, and multi-environment deployment. Use this when setting up automated software delivery workflows.

This skill functions as an expert in workflow automation, specializing in designing and implementing robust CI/CD pipelines and GitHub Actions workflows. It guides users through automating the entire development lifecycle—from building and testing to secure deployment. By establishing clear stages, handling secrets, and defining rollback strategies, it ensures consistency, reduces manual effort, and accelerates delivery while maintaining high quality and security standards.

A comprehensive workflow designed to orchestrate the entire lifecycle of large-scale features, from initial requirement gathering and architectural design through multi-service implementation, rigorous testing, and modern deployment strategies (e.g., canary, blue-green). Use this skill when coordinating complex, cross-functional feature delivery across frontend, backend, and data teams, ensuring quality and consistency at every phase.

A comprehensive guide to understanding the complete state (context) available to Large Language Models during inference. Covers core components like System Prompts, Tool Definitions, Message History, and Retrieval Augmented Generation (RAG). Learning to engineer context is crucial for building robust, efficient, and reliable AI agent systems by managing the attention budget and ensuring high-signal information delivery.