Skill UI

Build Java applications with Azure AI Anomaly Detector SDK for univariate and multivariate time-series anomaly detection, streaming, change point, and model training. Note: service retired, use as migration reference.

Client library for Azure AI Translator service enabling real-time text translation, transliteration, language detection, dictionary lookup, and sentence boundary detection. Supports multiple languages, custom endpoints, and Azure Entra ID authentication.

Orchestrate comprehensive backend feature development from requirements gathering to production deployment. This workflow coordinates multi-phase delivery across teams, managing architecture, implementation, testing, and rollout strategies. It supports various methodologies like TDD and DDD, ensuring quality and consistency throughout the lifecycle. Ideal for complex projects involving multiple services and deployment strategies.

This skill guides the definition of relationships and integration contracts between distinct bounded contexts within a complex system using Domain-Driven Design (DDD) patterns. It is crucial for preventing domain leakage, planning anti-corruption layers (ACLs), and clarifying ownership boundaries when multiple services interact, ensuring a robust and scalable system architecture.

Configure comprehensive debugging workflows, distributed tracing, logging standards, and production-safe diagnostics for multi-service systems.

Define and run multi-container Docker applications using declarative YAML configuration. Ideal for local development, setting up environments, managing service dependencies, networking, and creating reproducible setups. Supports volume mounts, environment variables, and resource limits.

Hono is a minimal and ultrafast web framework built entirely on Web Standards (Request/Response/fetch). It allows developers to build high-performance APIs and full-stack applications that run seamlessly across multiple environments, including Cloudflare Workers, Deno, Bun, and Node.js. It is ideal for edge deployment, Backend for Frontend (BFF) layers, and type-safe backend services.

This skill orchestrates multi-agent incident response workflows following modern SRE practices. It guides detection, triage, investigation, mitigation, and resolution phases to ensure rapid service recovery and learning. Includes severity classification, observability analysis, root cause analysis, and deployment strategies for critical system outages and security breaches.

Step-by-step guidance for creating production-ready Kubernetes manifests including Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims. Apply best practices, resource limits, health checks, and security contexts for multi-environment deployments.

Expert Kubernetes architect specializing in cloud-native infrastructure, GitOps workflows, multi-cluster strategy, security, service mesh, and enterprise container orchestration at scale.

This skill covers production patterns for Linkerd, a lightweight security-first service mesh for Kubernetes. It includes setup instructions, namespace injection, service profiles for retries/timeouts, traffic splits for canary deployments, server authorization policies, and multi-cluster configurations. Ideal for DevOps engineers managing microservices security and traffic management.

A systematic, multi-phase workflow designed for diagnosing and resolving complex Linux system issues. It guides users through initial assessment, resource analysis (CPU, memory, disk), process investigation, log analysis, network diagnostics, and service failure resolution. Ideal for system administrators and DevOps engineers handling production incidents.