Devops Skill for Claude
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/mrgoonie/claudekit-skills --skill devopsWhat comes with it
130 876 bytes besides the instructionThe instruction itself
12 sections, as written by the authorDevOps 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 overviewcloudflare-workers-basics.md- Handler types, patternscloudflare-workers-advanced.md- Performance, optimizationcloudflare-workers-apis.md- Runtime APIs, bindingscloudflare-r2-storage.md- Object storage, S3 compatibilitycloudflare-d1-kv.md- D1 SQLite, KV storebrowser-rendering.md- Puppeteer automation
Docker
docker-basics.md- Dockerfile, images, containersdocker-compose.md- Multi-container apps
Google Cloud
gcloud-platform.md- gcloud CLI, authenticationgcloud-services.md- Compute Engine, GKE, Cloud Run
Kubernetes
kubernetes-basics.md- Core concepts, architecture, workloadskubernetes-kubectl.md- Essential commands, debugging workflowkubernetes-helm.md/kubernetes-helm-advanced.md- Helm charts, templateskubernetes-security.md/kubernetes-security-advanced.md- RBAC, secretskubernetes-workflows.md/kubernetes-workflows-advanced.md- GitOps, CI/CDkubernetes-troubleshooting.md/kubernetes-troubleshooting-advanced.md- Debug
Scripts
scripts/cloudflare-deploy.py- Automate Worker deploymentsscripts/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
- Cloudflare: https://developers.cloudflare.com
- Docker: https://docs.docker.com
- GCP: https://cloud.google.com/docs
- Kubernetes: https://kubernetes.io/docs
- Helm: https://helm.sh/docs
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How to use it
Take mrgoonie/devops from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference docker.
Without those the skill loads but fails at the first command.