Skill UI

This skill guides the planning and review process for complex home or small-lab network changes. It covers creating staged migration plans for VLAN segmentation, implementing local DNS resolvers (like Pi-hole), setting up secure VPN access, and ensuring network safety through detailed inventory checks and rollback procedures. It emphasizes security best practices and trust zoning.

A comprehensive guide to designing and structuring a scalable home or small-lab network. This skill covers best practices for IP addressing, network segmentation (VLANs), selecting reliable gateways (like pfSense/OPNsense), and planning for future growth, ensuring stability and avoiding common pitfalls like Double NAT. Ideal for advanced users building robust IoT, server, and guest networks.

Pi-hole is a powerful, network-wide DNS ad blocker that runs on Linux hosts (like Raspberry Pi). It intercepts all DNS queries on your local network, blocking advertisements, trackers, and known malware domains before they reach your devices. This guide covers setup via Docker or bare metal, configuring network DNS, managing blocklists, and enabling secure DNS-over-HTTPS (DoH) for enhanced privacy.

A comprehensive guide on segmenting a home network using VLANs to dramatically enhance security. Learn how to isolate different device types—such as IoT gadgets, guests, and servers—from main PCs, preventing cross-segment malware spread and unauthorized communication. Covers setup steps for UniFi, pfSense, and OPNsense.

A comprehensive guide to setting up a fast and secure WireGuard VPN server for remote access to your home network (homelab). Learn keypair generation, advanced Linux firewall (iptables) rules, and how to manage different tunneling modes (split vs. full tunnel) for optimal performance.

This comprehensive guide covers advanced Kotlin testing patterns using industry-standard tools like Kotest and MockK. It details the entire TDD workflow (Red-Green-Refactor), property-based testing, coroutines testing, and code coverage configuration with Kover. Ideal for developers looking to write robust, maintainable, and scalable Kotlin codebases.

A comprehensive guide to production-level Laravel architectural patterns. It details best practices for structuring scalable web applications and APIs, covering service layers, dedicated actions, Eloquent ORM modeling, resource design, queue management, and advanced routing techniques like scope bindings. Learn how to maintain clean separation of concerns in large-scale PHP projects.

This memory bridge ingests Claude Code's local auto-memory markdown files and structures them into AgentDB. It generates high-fidelity ONNX embeddings, handles deduplication using cosine similarity, and indexes the memories in a scalable namespace. This enables seamless, unified semantic search across all historical sessions and projects, significantly enhancing RAG capabilities.

This resource is designed to document and guide the implementation of various architectural patterns and best practices when developing backend applications using the NestJS framework. It helps developers structure their code for maximum scalability and maintainability.

A comprehensive guide detailing the architectural standards, technology stack, file structure, and coding patterns for building modern, AI-driven full-stack applications. It covers best practices for Next.js, FastAPI, database interaction (Supabase), and structured AI integration (Claude), ensuring consistency and scalability across the development lifecycle.

A comprehensive guide to architectural patterns for building cloud-native, event-driven microservices using Quarkus 3.x. Covers RESTful API design with JAX-RS, implementing event messaging with Apache Camel and RabbitMQ, structured data access using Hibernate Panache, managing transactions, and advanced logging context handling (MDC). Ideal for developers building robust, scalable, and maintainable enterprise systems.

This skill provides a structured framework for designing and implementing composable recommendation, ranking, and feed pipelines. It models the industry-standard six-stage pattern: Source, Hydrator, Filter, Scorer, Selector, and SideEffect. Use it for any system that selects "the top K items for a (user, context)", such as social feeds, ad ranking, RAG rerankers, or content recommendation engines, ensuring a robust and scalable architecture.