DevOps & Cloud

Deployment, cloud, containers, CI/CD, monitoring, and infrastructure

skills in category: 17,845
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Showing 17,689–17,712 of 17,845 skills

Service Mesh ObservabilityAImplement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.devopsgobashVotes: 0GitHub stars: 40,199
Multi Cloud ArchitectureADesign multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP. Use when building multi-cloud systems, avoiding vendor lock-in, or leveraging best-of-breed services from multiple providers.devopsgosqlVotes: 0GitHub stars: 40,199
Linkerd PatternsAImplement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.devopsrustgoVotes: 0GitHub stars: 40,199
Istio Traffic ManagementAConfigure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.devopsbashtestingVotes: 0GitHub stars: 40,199
Hybrid Cloud NetworkingAConfigure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.devopsbashexpressVotes: 0GitHub stars: 40,199
Cost OptimizationAOptimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.devopsgosqlVotes: 0GitHub stars: 40,199
Github Actions TemplatesACreate production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.devopspythonnodeVotes: 0GitHub stars: 40,199
Deployment Pipeline DesignADesign multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.devopspythongoVotes: 0GitHub stars: 40,199
Workflow Orchestration PatternsADesign durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.devopsgoapiVotes: 0GitHub stars: 40,199
When Setting Network Security Use Network Security SetupB```yaml metadata: skill_name: when-setting-network-security-use-network-security-setup version: 1.0.0 category: specialized-tools difficulty: intermediate estimated_duration: 25-45 minutes trigger_patterns: - "network security" - "configure network isolation" - "trusted domains" - "firewall rules" - "network access control" dependencies: - Claude Code sandbox - Network configuration access agents: - security-manager - cicd-engineer success_criteria: - Trusted domains configured - Access polic...devopspythonrustVotes: 0GitHub stars: 4
When Configuring Sandbox Security Use Sandbox ConfiguratorF```yaml metadata: skill_name: when-configuring-sandbox-security-use-sandbox-configurator version: 1.0.0 category: specialized-tools difficulty: intermediate estimated_duration: 20-40 minutes trigger_patterns: - "configure sandbox security" - "sandbox isolation" - "file system boundaries" - "sandbox permissions" - "secure sandbox" dependencies: - Claude Code sandbox environment - Admin/root access (if applicable) agents: - security-manager (security architect) - cicd-engineer (infrastructure s...devopsrustgoVotes: 0GitHub stars: 4
When Training Neural Networks Use Flow Nexus NeuralB```yaml metadata: skill_name: when-training-neural-networks-use-flow-nexus-neural version: 1.0.0 category: platform-integration difficulty: advanced estimated_duration: 45-90 minutes trigger_patterns: - "train neural network" - "machine learning model" - "distributed training" - "flow nexus neural" - "E2B sandbox training" dependencies: - flow-nexus MCP server - E2B account (optional for cloud) - Claude Flow hooks agents: - ml-developer (primary model architect) - flow-nexus-neural (platform ...devopspythongoVotes: 0GitHub stars: 4
Build DistributionAUse when preparing an Apple release — code signing, TestFlight upload, App Store submission, or app icons/CI across all platforms.devopsswifttestingVotes: 0GitHub stars: 29
Release PrepAUse when preparing a production release or release candidate - provides a checklist-driven workflow for validation, versioning, build optimization, documentation updates, and deployment readiness.devopssecurityperformanceVotes: 0GitHub stars: 37
Kubernetes Deployment PatternsAKubernetes deployment strategies and workload patterns for production-grade applications. Use when deploying to Kubernetes, implementing rollout strategies, or designing cloud-native application architectures.devopsnodekubernetesVotes: 0GitHub stars: 37
Mlops WorkflowsAComprehensive MLOps workflows for the complete ML lifecycle - experiment tracking, model registry, deployment patterns, monitoring, A/B testing, and production best practices with MLflowdevopspythongoVotes: 0GitHub stars: 60
KubernetesAProduction-grade Kubernetes manifests and debugging for containerized applications. This skill should be used when users ask to deploy to Kubernetes, create K8s manifests, containerize for K8s, set up Deployments/Services/Jobs/StatefulSets/CronJobs, create namespaces with resource quotas, set up multi-team isolation, configure ResourceQuota/ LimitRange, secure with RBAC (ServiceAccount, Role, RoleBinding), configure init containers (model download, db wait, migrations), set up sidecars (loggi...devopsgobashVotes: 0GitHub stars: 27
DockerBProduction-grade Docker containerization for Python and Node.js applications. This skill should be used when users ask to containerize applications, create Dockerfiles, dockerize projects, or set up Docker Compose. Auto-detects project structure, analyzes .env for secrets, validates security, and generates tested Dockerfiles.devopsjavascriptpythonVotes: 0GitHub stars: 27
Ml PipelineADesigns and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data v...devopspythondockerVotes: 0GitHub stars: 11,720
Docker ComposeA创建和管理多容器应用的Docker Compose配置，包含生产级设置、健康检查和网络配置。devopsshellsqlVotes: 0GitHub stars: 85
Environment BootstrapBUse for development environment setup - create and maintain init scripts, run smoke tests, ensure consistent environment across sessionsdevopsgobashVotes: 0GitHub stars: 11
Ci Cd GeneratorA为GitHub Actions、GitLab CI、Azure DevOps和Jenkins生成CI/CD流水线，包含构建、测试、部署阶段、缓存和密钥管理。devopsnodedockerVotes: 0GitHub stars: 85
Sentry Setup Ai MonitoringASetup Sentry AI Agent Monitoring in any project. Use this when asked to add AI monitoring, track LLM calls, monitor AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI. Automatically detects installed AI SDKs and configures the appropriate Sentry integration.devopsjavascripttypescriptVotes: 0GitHub stars: 11
GcloudBGuide for implementing Google Cloud SDK (gcloud CLI) - a command-line tool for managing Google Cloud resources. Use when installing/configuring gcloud, authenticating with Google Cloud, managing projects/configurations, deploying applications, working with Compute Engine/GKE/App Engine/Cloud Storage, scripting gcloud operations, implementing CI/CD pipelines, or troubleshooting Google Cloud deployments.devopspythongoVotes: 0GitHub stars: 121