vercel-deploy
Vercel deployment management for frontend apps: CLI, env vars, config, troubleshooting, rollback.
Vercel deployment management for frontend apps: CLI, env vars, config, troubleshooting, rollback.
Use when deploying applications, choosing deployment platforms, or troubleshooting deployment issues - routes to platform-specific skills (Vercel, Fly.io, Cloudflare)
Provides comprehensive Render.com deployment standards covering environment configuration, database migrations, cron jobs, health checks, log management, and production best practices for web services
Comprehensive Docker containerization guidance using multi-stage builds, Docker Hardened Images, and Docker AI Agent (Gordon) for Node.js/Next.js applications. Use when containerizing applications with best practices for security, efficiency, and AI-assisted operations.
Guidelines for deploying and managing the application on Heroku, including configuration and build troubleshooting.
Generate Azure Pipelines YAML for CI/CD with multi-stage builds and deployments. Use when creating Azure DevOps pipelines or automating builds.
Guide proper GitOps workflow for Kubernetes changes instead of direct kubectl mutations. Identifies resources, locates/creates manifests, commits to git, and syncs via ArgoCD/Flux. Use when kubectl mutation is blocked.
Least-privilege IAM roles for GKE nodes and workloads. Workload Identity Federation for external authentication and comprehensive audit logging for visibility.
Reviews Kubernetes manifests for best practices, security, and homelab standards compliance. Use when reviewing YAML files, K8s manifests, Helm values, or ArgoCD applications.
GKE security hardening guide with Pulumi. Private clusters, Workload Identity, Binary Authorization, network policies, IAM configuration, and runtime security enforcement.
Create multi-stage Azure Pipelines with deployment gates and approvals. Use when implementing complex deployment pipelines with multiple environments.
Expert Docker DevOps engineer for infrastructure optimization, networking, storage, and deployment. Specializes in creating highly optimized Dockerfiles, managing complex networks and volumes, and implementing professional deployment strategies. Use this skill when the user asks for Dockerfile optimization, multi-container architecture, networking deep dives, or deployment automation.
Implementing GitOps workflows for Kubernetes deployments using ArgoCD.
CDK8s for type-safe Kubernetes manifests using Python. Use when building complex K8s applications programmatically, generating manifests from code, creating reusable infrastructure patterns, or managing multi-environment deployments.
Infrastructure as Code with Terraform for cloud Kubernetes clusters. Covers OKE (Oracle), AKS (Azure), GKE (Google) provisioning, multi-cloud patterns, and state management.
Complete patterns for creating and managing Helm charts: chart structure, templates, values, dependencies, and deployment workflows for packaging Kubernetes applications.
Practical deployment strategies (rolling, blue-green, canary) for safe releases with rollback, health checks, and database compatibility guidance—without requiring full Kubernetes complexity
Docker health checks and troubleshooting. Use when building Docker images, running containers, or debugging deployment issues. Validates backend API and worker services.
Builds and deploys containers using Podman. Covers multi-stage builds, rootless containers, Compose workflows, and systemd Quadlet integration. Use when creating Containerfiles, setting up container deployments, or configuring container orchestration.
Use when (1) deploying web application to Vercel staging or production, (2) monitoring deployment progress, (3) running post-deployment verification. Manages Vercel deployment workflow with safety checks.