Découvrez les skills tools containers, comparez leurs dépôts et consultez leurs instructions.
Guide users through onboarding applications onto the Omnistrate platform. Currently supports Docker Compose-based services with full deployment lifecycle management. Future support planned for Helm charts, Terr...
Guide users through designing application architectures from scratch for SaaS deployment on Omnistrate. Focuses on technology selection, domain-specific architecture patterns, compliance and SLA requirements, a...
Systematically debug failed Omnistrate instance deployments using a progressive workflow that identifies root causes efficiently while avoiding token limits. Applies to deployment failures, probe issues, and he...
Specialized skill for deploying Next.js applications to AWS using SST (Serverless Stack) or Vercel, with DynamoDB integration, IAM configuration, and infrastructure as code. Use when setting up AWS resources or...
Manage Docker containers and services using Docker MCP. Start/stop containers, monitor logs, check health status, inspect configurations, debug container issues, and manage multi-container applications. Use whe...
Production deployment guidance for Quart applications including Docker, Hypercorn configuration, environment management, monitoring, and performance tuning. Activates when deploying or optimizing for production...
Use when investigating Kubernetes pod failures, crashes, resource issues, or service degradation. Provides systematic investigation methodology for incident triage, root cause analysis, and remediation planning...
Automate deployment of services from GitHub repositories to temporary Hetzner Cloud hosts with ZeroTier integration. Use this skill when users need to quickly spin up a service from a GitHub repo on a disposabl...
Toolkit for creating and managing server clusters on Hetzner Cloud using Terraform. Use this skill when users request deploying VMs, creating test infrastructure, or setting up server clusters on Hetzner Cloud....
Set up automated CI/CD pipelines with GitHub Actions, ensuring quality gates and automated deployments.
Systematic naming for deployment nodes (VMs, zones, environments) enables consistent infrastructure documentation. Use {Environment}{Service}Vm for VMs, {Tier} for zones, and include VLAN/network details.
Managing cloud infrastructure using declarative and imperative IaC tools. Use when provisioning cloud resources (Terraform/OpenTofu for multi-cloud, Pulumi for developer-centric workflows, AWS CDK for AWS-nativ...
Expert in implementing GitOps workflows for Kubernetes and cloud infrastructure. Specializes in ArgoCD, Flux, Helm, Kustomize, and CI/CD pipeline integration.
Guide to managing application versions and deployment releases.
Docker image reviews, optimization, and step-building guidance. Analyzes Dockerfiles for best practices, security issues, and anti-patterns.
Expert knowledge of Docker multi-stage builds, Coolify 4.0 configuration, and Traefik routing.
Secure storage, rotation, and access control for secrets, credentials, and sensitive configuration.
Implementing GitOps workflows for Kubernetes deployments using ArgoCD.
Practical deployment strategies (rolling, blue-green, canary) for safe releases with rollback, health checks, and database compatibility guidance—without requiring full Kubernetes complexity
Patterns for distributing configuration and secrets to services safely and consistently across environments (env vars, config files, secret managers, K8s External Secrets, and change process)
Production Kubernetes platform patterns covering cluster architecture, security, GitOps, observability, autoscaling, and operational guardrails
往 Kubernetes 集群添加普通服务。当用户请求部署新应用、添加新服务到集群时使用此技能。
Diagnoses Kubernetes pod issues automatically. Use when pods are in CrashLoopBackOff, ImagePullBackOff, Pending, or Error state. Analyzes events, logs, and resource status to identify root causes.
Reviews Kubernetes manifests for best practices, security, and homelab standards compliance. Use when reviewing YAML files, K8s manifests, Helm values, or ArgoCD applications.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.