Skill UI

This skill simulates a senior Go developer, specializing in writing high-performance, production-grade Go applications. It covers advanced topics like concurrent programming using goroutines and channels, designing robust microservices with gRPC/REST, and optimizing code using pprof and benchmarks. It enforces idiomatic Go patterns, context propagation, and strict testing practices (table-driven, fuzzing, race detection).

Guidance for building robust GraphQL services: schema design with Relay-style pagination, resolver patterns that leverage per-request DataLoader for N+1 prevention, subscription handling, and structured error payloads to simplify client integrations.

A comprehensive guide to the Apple Human Interface Guidelines (HIG), detailing best practices for designing seamless and intuitive user experiences across various interaction scenarios. It covers key principles such as minimizing modality, providing clear feedback, handling data entry, progressive onboarding, and managing complex features like sharing and drag-and-drop, ensuring your application feels native and polished.

This comprehensive guide outlines Apple's Human Interface Guidelines (HIG) for various technologies and user flows (e.g., Siri, Apple Pay, HealthKit, ARKit, Generative AI). It teaches developers how to ensure their applications feel natively integrated, respect user privacy, and adhere to established platform patterns across iOS, macOS, and other Apple devices. Essential reading for building high-quality, compliant, and seamless user experiences.

Auto-activating skill provides guidance for HTTP method helper tasks, covering REST, GraphQL, OpenAPI, authentication, and API design patterns while producing production-ready code and validations.

A sophisticated writing editor designed to remove tell-tale signs of AI-generated text. This tool helps transform overly polished, robotic, or academic prose into natural, human-sounding writing. It detects and corrects patterns such as inflated symbolism, passive voice, vague attributions, and repetitive LLM structures, while also calibrating the output to match an author's specific voice and tone. Ideal for content review, editing, and improving natural communication flow.

This skill provides comprehensive guidance on establishing secure, high-performance connectivity between on-premises data centers and major public cloud providers (AWS, Azure, GCP). It covers various connection options, including Site-to-Site VPN, AWS Direct Connect, Azure ExpressRoute, and GCP Cloud Interconnect. Use this skill to design and implement complex hybrid network patterns (e.g., Hub-and-Spoke, Multi-Cloud), ensuring high availability, proper routing (BGP), and adherence to security best practices.

Automatically guides API developers through creating hypermedia link generators, covering REST, GraphQL, OpenAPI, authentication, and design patterns while producing validated code and configurations that follow best practices.

Visits target URLs to capture screenshots and inspect pages, then extracts palettes, typography, layouts, and repeatable UI patterns so design teams can document inspiration for new projects.

Specialized skill for designing, building, and optimizing modern, cloud-native enterprise Java applications. Covers microservices architecture, Spring Boot 3.x, reactive programming (WebFlux), advanced data persistence (JPA optimization, R2DBC), and robust security implementation (OAuth2/JWT). Use this when implementing DDD patterns, ensuring high test coverage, and managing complex transaction boundaries.

Comprehensive reference for designing Spring Boot entities, repositories, transactions, pagination, and pooling with JPA/Hibernate patterns plus auditing, indexing, and caching strategies.

This skill provides a comprehensive pattern for building robust, scalable, and fault-tolerant asynchronous video generation pipelines using Kling AI. It implements advanced software engineering patterns, including Redis queues (Producer/Consumer), State Machines, and event-driven callbacks. It is designed for managing complex, multi-step AI workflows—such as generate, extend, and download—ensuring reliable background task processing.