Skill UI

An expert guide for designing, building, and optimizing high-performance, enterprise-grade backend systems using the .NET ecosystem. Covers advanced C# features, ASP.NET Core microservices, data access patterns (EF Core/Dapper), Clean Architecture, DDD, and crucial performance considerations like caching and optimization. Ideal for architects needing to ensure scalable, maintainable, and testable production-ready APIs.

This skill provides expert guidance for building robust, scalable, and fault-tolerant applications using Elixir. It specializes in mastering OTP patterns, Phoenix LiveView, concurrent programming, and distributed system design. Use it for complex Elixir development tasks requiring best practices and high reliability.

This comprehensive workflow manages the entire lifecycle of notes within Evernote. It provides structured methods for creating new notes (supporting plain text, checklists, and ENML formatting), retrieving existing content, updating notes, and organizing both notes and notebooks/stacks. Essential for building full-featured note-taking applications and content management systems.

This skill details best practices for handling and structuring Evernote data. It covers designing local database schemas (SQL), advanced ENML content processing (to Markdown/HTML), managing attachments, and implementing reliable incremental synchronization using Update Sequence Numbers (USN). Ideal for developers building robust applications requiring deep, local data access and integrity checks for Evernote content.

Implement robust Role-Based Access Control (RBAC) specifically for Evernote integrations. This guide covers multi-tenant architectures, handling Evernote Business accounts, defining granular permissions (READ, WRITE, FULL), and creating authorization middleware. Essential for building secure, enterprise-grade SaaS applications that manage shared corporate data.

A comprehensive guide to boosting Evernote API integration performance and scalability. Techniques covered include implementing response caching (using Redis), performing metadata-only queries to minimize data transfer, batching multiple operations, and optimizing client connection management. Essential for building high-performance, reliable applications.

A comprehensive guide providing production-ready architectural patterns for building scalable, maintainable, and reliable integrations with Evernote. This skill covers microservices design, multi-level caching strategies (e.g., Redis), robust synchronization processes using webhooks and message queues, and establishing data mirroring schemas for complex SaaS applications.

This skill provides comprehensive guidance on deploying Expo applications to production across multiple platforms, including iOS, Android, and Web, utilizing Expo Application Services (EAS). It covers the full lifecycle, from building and configuring profiles (eas.json) to submitting builds to App Store Connect, Google Play, and TestFlight. Furthermore, it details deploying web bundles, managing app versions, optimizing App Store metadata, and implementing automated CI/CD workflows.

This skill guides the end-to-end development, deployment, and secure integration of complex AI features into Firebase applications. It covers setting up Cloud Functions, Firestore/Storage rules, Authentication, and connecting robustly with Vertex AI/Gemini for advanced AI capabilities. Focuses on building production-grade, highly secure, data-intensive AI systems.

This comprehensive guide details advanced techniques to significantly boost Firecrawl scraping speed and efficiency. Learn how to optimize performance by selecting the most efficient output formats (e.g., Markdown over HTML), implementing URL caching, utilizing batch scraping for multiple URLs, and tuning delay parameters for dynamic Single Page Applications (SPAs). Mastering these methods is crucial for building high-throughput, cost-effective web scraping pipelines.

This guide provides production-ready patterns for integrating the Firecrawl SDK in TypeScript and Python. It covers essential architectural best practices, such as implementing singleton clients, typed service wrappers, automatic retries with exponential backoff, concurrency management, and robust response validation using Zod. Ideal for building scalable, reliable web scraping services.

Learn practical, type-safe patterns for building complex React applications using fp-ts. This guide covers key functional programming concepts like handling optional values (Option), managing failure states (Either), and structuring data fetching and forms, ensuring your code is predictable and robust for React 18/19 and Next.js 14/15.