Skill UI

This comprehensive guide covers best practices for building robust, production-ready gRPC microservices in Go. It details proper protobuf organization, utilizing interceptors for cross-cutting concerns (logging, auth), implementing graceful shutdowns, handling gRPC status codes, and optimizing client connections with deadlines and retry policies. Essential for engineers designing reliable distributed systems.

This skill provides comprehensive observability tooling for Go services, covering the five essential signals: structured logging (slog), Prometheus metrics, OpenTelemetry tracing, continuous profiling, and RUM. Use it for proactive production monitoring, correlating logs with traces, setting up SLOs, and ensuring all new features are fully instrumented for robust diagnosis.

A comprehensive guide for setting up robust and scalable Go projects. It covers best practices for directory structure (cmd, internal, pkg), module naming conventions, adopting 12-Factor App standards, and choosing appropriate architectural patterns (Clean, Hexagonal, DDD). Ideal for starting new services, libraries, or monorepos in Go.

A comprehensive, type-safe in-memory caching library for Go, designed for advanced system architecture. It supports nine sophisticated eviction algorithms (like W-TinyLFU, LRU, LFU, ARC) to optimize cache hit rates based on specific access patterns. Key features include TTL management, loader chains for read-through caching (with singleflight deduplication), sharding, and Prometheus metrics. Ideal for high-frequency services needing to reduce database load and latency.

A comprehensive collection of composable handlers and middlewares for Go's standard slog package. This skill enables developers to build robust, multi-stage logging pipelines by implementing critical steps like log sampling (throughput control), attribute formatting (PII stripping), advanced routing, and sinking logs to various professional backends (e.g., Sentry, Loki, Datadog). Ideal for production-grade services requiring high observability.

A comprehensive guide for deploying, configuring, and maintaining the OpenViking server in production environments. It covers service configuration management, environment setup using `uv` for virtual environments, reliable startup procedures using `nohup`, graceful shutdown methods, and critical data cleanup workflows. This resource is essential for DevOps engineers and system administrators managing OpenViking services.

Guides configuring HTTP/HTTPS, SNMP, and SMB services plus verification and log review for penetration testing labs using Windows or Linux hosts.

This guide provides a comprehensive, step-by-step process to scaffold a modern Spring Boot application using Kotlin. It covers downloading the template, configuring dependencies (including SpringDoc and ArchUnit), and setting up complex polyglot environments using Docker Compose. Supports PostgreSQL, MongoDB, Redis, and WebFlux reactive programming.

This skill guides the generation of a complete, production-ready Model Context Protocol (MCP) server using C# and .NET. It covers advanced architectural patterns, including Host builder setup, proper dependency injection, structured logging, and implementing robust functional tools. Ideal for developers building sophisticated AI agents or backend services that require standardized communication and tool invocation capabilities.

This generator provides a comprehensive, production-ready template for building a Model Context Protocol (MCP) server using Kotlin. It sets up the full Gradle structure, integrates essential dependencies (MCP SDK, Ktor, Coroutines), and includes robust placeholders for custom tools, error handling, and testing, accelerating the development of context-aware backend services.

A command-line interface (CLI) for accessing and interacting with Model Context Protocol (MCP) servers. It acts as a unified gateway, allowing users to discover, inspect, and execute tools and APIs from external sources like filesystems, databases, APIs, and specialized services. Essential for programmatic workflow automation and system integration.

This tool provides comprehensive automation capabilities for managing cloud infrastructure on the Render platform via Rube MCP. Users can list, filter, and browse various services (web services, static sites, etc.), manually trigger new deployments, and continuously monitor the deployment status (e.g., checking for 'live' status or catching 'build_failed' errors). It is essential for streamlining CI/CD pipelines, managing projects, and ensuring reliable, automated service updates without manual intervention.