Agent Skills

Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.

Install

npx skills add https://github.com/mrgoonie/claudekit-skills --skill devops
SKILL.md

DevOps Skill

Deploy and manage cloud infrastructure across Cloudflare, Docker, Google Cloud, and Kubernetes.

When to Use

  • Deploy serverless apps to Cloudflare Workers/Pages
  • Containerize apps with Docker, Docker Compose
  • Manage GCP with gcloud CLI (Cloud Run, GKE, Cloud SQL)
  • Kubernetes cluster management (kubectl, Helm)
  • GitOps workflows (Argo CD, Flux)
  • CI/CD pipelines, multi-region deployments
  • Security audits, RBAC, network policies

Platform Selection

Need Choose
Sub-50ms latency globally Cloudflare Workers
Large file storage (zero egress) Cloudflare R2
SQL database (global reads) Cloudflare D1
Containerized workloads Docker + Cloud Run/GKE
Enterprise Kubernetes GKE
Managed relational DB Cloud SQL
Static site + API Cloudflare Pages
Container orchestration Kubernetes
Package management for K8s Helm

Quick Start

# Cloudflare Worker
wrangler init my-worker && cd my-worker && wrangler deploy

# Docker
docker build -t myapp . && docker run -p 3000:3000 myapp

# GCP Cloud Run
gcloud run deploy my-service --image gcr.io/project/image --region us-central1

# Kubernetes
kubectl apply -f manifests/ && kubectl get pods

Reference Navigation

Cloudflare Platform

  • cloudflare-platform.md - Edge computing overview
  • cloudflare-workers-basics.md - Handler types, patterns
  • cloudflare-workers-advanced.md - Performance, optimization
  • cloudflare-workers-apis.md - Runtime APIs, bindings
  • cloudflare-r2-storage.md - Object storage, S3 compatibility
  • cloudflare-d1-kv.md - D1 SQLite, KV store
  • browser-rendering.md - Puppeteer automation

Docker

  • docker-basics.md - Dockerfile, images, containers
  • docker-compose.md - Multi-container apps

Google Cloud

  • gcloud-platform.md - gcloud CLI, authentication
  • gcloud-services.md - Compute Engine, GKE, Cloud Run

Kubernetes

  • kubernetes-basics.md - Core concepts, architecture, workloads
  • kubernetes-kubectl.md - Essential commands, debugging workflow
  • kubernetes-helm.md / kubernetes-helm-advanced.md - Helm charts, templates
  • kubernetes-security.md / kubernetes-security-advanced.md - RBAC, secrets
  • kubernetes-workflows.md / kubernetes-workflows-advanced.md - GitOps, CI/CD
  • kubernetes-troubleshooting.md / kubernetes-troubleshooting-advanced.md - Debug

Scripts

  • scripts/cloudflare-deploy.py - Automate Worker deployments
  • scripts/docker-optimize.py - Analyze Dockerfiles

Best Practices

Security: Non-root containers, RBAC, secrets in env vars, image scanning Performance: Multi-stage builds, edge caching, resource limits Cost: R2 for large egress, caching, right-size resources Development: Docker Compose local dev, wrangler dev, version control IaC

Resources

Related skills

azure-diagnosticsmicrosoft608KDebug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, aazure-preparemicrosoft608KPrepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azazure-aimicrosoft608KUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.azure-deploymicrosoft607KExecute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: \"run azd up\", \"run azd deploy\", \"execute deployment\",

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers