Skill UI

A comprehensive guide to building production-grade Laravel applications. It details architectural patterns for achieving scalability and maintainability, covering service/action separation, advanced Eloquent usage (casts, scopes), dependency injection via service containers, and robust API routing patterns.

A comprehensive architectural guide for building and maintaining macOS menubar utilities using SwiftUI and Tuist. It enforces strict separation of concerns by guiding developers to keep networking, state management, and UI presentation in distinct, testable layers, ensuring robust and scalable application development.

Provides a comprehensive guide to Dependency Injection (DI) in Go. It covers the principles of loose coupling, testability, and separation of concerns, contrasting manual constructor injection with popular DI libraries (Wire, Dig, FX). Ideal for designing service architectures, refactoring coupled code, or understanding the principles of Inversion of Control in Go applications.

This tool automates the entire process of creating a complete, production-ready application structure solely from an OpenAPI (Swagger) specification. It analyzes the spec to design the application architecture, generating all necessary layers including controllers, service logic, data models (DTOs), and repositories, adhering to best practices, framework conventions, and separation of concerns. The output includes unit tests, configuration files, and setup instructions, providing a robust, ready-to-use codebase.

A robust, production-ready architecture pattern for integrating with multiple Adobe APIs, including Firefly Services, PDF Services, and I/O Events. This pattern enforces a layered structure (API -> Service -> Client -> Infrastructure), ensuring clean separation of concerns, centralized authentication, robust error handling boundaries, and scalable workflow orchestration for enterprise applications.

This comprehensive guide outlines essential security best practices for users operating within the Apify ecosystem. Learn how to properly manage API tokens, implement environment separation (dev/staging/prod), secure proxy credentials, and sanitize sensitive data (PII) before storage. Essential for hardening data pipelines and ensuring compliance.

A comprehensive guide and framework for implementing Role-Based Access Control (RBAC) for Apple Notes in multi-user enterprise environments. It details account separation techniques, folder-based permission models, and MDM enforcement strategies to secure sensitive organizational data within macOS automation scripts. Ideal for IT professionals and developers managing corporate data compliance.

This utility provides a structured way to manage and separate notes across multiple accounts and environments within Apple Notes. By utilizing distinct accounts (e.g., iCloud for Production, 'On My Mac' for Development), users can ensure absolute data isolation between development, staging, and live production data. It is crucial for maintaining clean separation in complex development workflows and QA testing scenarios.

This detailed guide outlines how to configure the Flexport API for isolated development, staging, and production environments. It enforces best practices for data separation using distinct API keys, webhook secrets, and implements critical safety guards to prevent accidental data access or modification across environments.

This skill provides a comprehensive reference architecture and best-practice project layout for integrating Grammarly functionalities into custom applications. It details the separation of concerns, including Content Quality Service, API Client, and specific API calls (scoring, detection, plagiarism). It is essential for developers designing new Grammarly-powered SaaS integrations or establishing consistent architectural standards.

This guide provides a comprehensive workflow for deploying Algolia-powered search applications to various cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It covers best practices for API key separation (Admin vs. Search-Only), setting up environment variables, and implementing both backend API routes and advanced frontend components using React InstantSearch or vanilla JavaScript.

This guide details setting up and managing CoreWeave GPU cloud infrastructure across Development, Staging, and Production environments. It ensures strict resource separation using dedicated Kubernetes namespaces for GPU quotas and scaling policies. Use this when deploying complex ML/AI workloads requiring robust environment isolation and controlled promotion workflows.