Discover blockchain containers skills, compare source repositories and read the instructions for each workflow.
Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod...
Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resou...
Specific workflows for scaling GKE workloads using HPA and VPA, as well as best practices for autoscaling configuration.
Guides the user through creating GKE clusters using pre-defined templates (Standard, Autopilot, GPU/AI).
Sets up deployment, analytics, and health monitoring for projects. Use when user mentions デプロイ, deploy, Vercel, Netlify, 公開, アナリティクス, analytics, GA, Google Analytics, 環境診断, health check. Do NOT...
Knowledge of the Vercel deployment pipeline, hybrid build scripts, and environment configuration.
CI/CD and DevOps workflow. Use when modifying GitHub Actions, Docker configurations, or compose files.
Use when implementing Kubernetes security patterns including RBAC, NetworkPolicies, Pod Security Standards, secrets management, image scanning with Trivy, Cosign signing, and Dapr security. Covers 4C model, com...
Generate production-ready Dockerfiles with multi-stage builds, security best practices, and optimization. Use when containerizing Python applications for production deployment.
Deploy Kubernetes workloads to real cloud providers. Use when provisioning managed Kubernetes (DOKS, AKS, GKE, EKS, Civo) or self-managed clusters (Hetzner + K3s). Covers CLI tools, cluster creation, LoadBalanc...
Use when implementing Kubernetes cost visibility (OpenCost, VPA), backup/disaster recovery (Velero, RTO/RPO), or chaos engineering (Chaos Mesh). Triggers on cost optimization, right-sizing, FinOps, backup sched...
Build production traffic engineering for Kubernetes with Envoy Gateway, Gateway API, KEDA autoscaling, and Envoy AI Gateway. Use when implementing ingress, rate limiting, traffic routing, TLS, autoscaling, or L...
Build Kubernetes observability stacks with Prometheus, Grafana, OpenTelemetry, Jaeger, and Loki. Use when implementing metrics, tracing, logging, SRE practices, or cost engineering for cloud-native applications...
Kessoku compile-time DI with parallel initialization for Go. Use when writing or debugging kessoku providers/injectors, enabling async dependencies, migrating from google/wire, or fixing go:generate/codegen iss...
Guide for using Docker - a containerization platform for building, running, and deploying applications in isolated containers. Use when containerizing applications, creating Dockerfiles, working with Docker Com...
Reference the Kubernetes API. Useful for understanding what is possible via the Kubernetes REST API.
Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare...
Use when setting up CI/CD pipelines, containerizing applications, deploying to Kubernetes, or writing infrastructure as code. DevOps & Deployment covers GitHub Actions, Docker, Helm, and Terraform patterns.
Creating components (inline/docker). Dynamic ports, retry policies, PTY patterns, IsolatedContainerVolume.
Use when wiring cross-component dependencies in stack YAML. Covers !terraform.state syntax for passing outputs between components without remote-state lookups.
Use when deploying Node.js applications to AWS Elastic Beanstalk or troubleshooting deployment issues - provides dependency installation strategies, monorepo handling, and deployment best practices
Robust deployment patterns for Elastic Beanstalk with GitHub Actions, Pulumi, and edge case handling
Builds and launches Docker containers with health verification using best practices
Coordinates Docker, CI/CD, and environment configuration setup via auto-detection
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.