Skill UI

Guides teams through the Databricks reference architecture with lakehouse layers, Unity Catalog governance, project layout conventions, and CI/CD integration for production analytics platforms.

Provides a production-ready Documenso reference architecture with example project layout, layered components, data flow, and webhook setup so teams can design, review, and standardize document signing integrations.

Provides a workflow for building cloud-ready .NET 8 services, covering minimal APIs, clean architecture layering, EF Core data access, MediatR CQRS, JWT auth, and AOT-ready microservices deployments.

Automates guidance for implementing error handler middleware in backend services, covering Node.js, Python, Go, microservices, databases, caching, messaging, and architecture best practices with production-ready code and validation.

Guides teams through Exa re-architecture, migration, and major upgrades using the strangler fig pattern, covering prep, assessments, adapters, data batches, traffic shifts, rollback, and validation so integrations move safely.

This comprehensive skill guides developers beyond basic implementation, covering advanced topics essential for robust and scalable Firebase applications. It focuses on preventing common pitfalls such as security breaches, runaway costs, and inefficient data querying. Key areas include designing robust security rules, optimizing Firestore data models for complex queries, and implementing modular SDK usage.

This guide provides a practical, actionable framework for ensuring compliance with the General Data Protection Regulation (GDPR). It details necessary procedures for handling personal data originating from the European Union (EU), covering consent management, implementing data subject rights (DSRs), and designing privacy-first architectures. Use this when building systems that require rigorous data governance and legal adherence.

Comprehensive playbook for Instantly re-architecture projects, covering assessment, Strangler Fig phased rollout, adapter layer creation, bulk data migration, traffic shift control, rollback, and validation for major upgrades or replatforming.

Guides developers through native iOS app creation using Swift 6, SwiftUI, UIKit, Combine, Core Data, networking, and App Store deployment best practices, ensuring architecture, performance, and security align with Apple ecosystem expectations.

Comprehensive guide to LangChain architecture, covering agent patterns, chains, memory, document pipelines, and callbacks for building production-ready LLM applications that integrate tools and data sources.

This skill provides a comprehensive guide to mastering microservices architecture patterns. It covers critical areas such as service boundary identification, inter-service communication protocols, distributed data management, and implementing resilience patterns. Use this when decomposing large monolithic applications or designing complex, highly available distributed systems.

nanoGPT is a simplified, minimalist implementation designed specifically for educational purposes. It reproduces the core architecture of GPT-2 (124M) using clean, hackable code, allowing users to understand the entire transformer pipeline from scratch. The framework supports full workflows, including data preparation on various datasets (e.g., Shakespeare, OpenWebText), model training, and text generation, making it ideal for students and researchers learning NLP and deep learning principles.