/devops
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
$ npx -y skills add nicepkg/auto-company --skill devops --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/devops
Context preview
The summary Claude sees to decide when to auto-load this skill.
Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
SKILL.md
devops.SKILL.mdname: devops
description: Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit.
license: MIT
version: 2.0.0
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
- 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
Read more
name: devops description: Deploy to Cloudflare (Workers, R2, D1), Docker, GCP (Cloud Run, GKE), Kubernetes (kubectl, Helm). Use for serverless, containers, CI/CD, GitOps, security audit. license: MIT version: 2.0.0
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
- 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
全自主 AI 公司，24/7 不停歇运行 14 个 AI Agent，每个都是该领域世界顶级专家的思维分身。 自主构思产品、做决策、写代码、部署上线、搞营销。没有人类参与。 基于 Claude Code Agent Teams 驱动。 ⚠️ 实验项目 — 还在测试中，能跑但不一定稳定。目前仅支持 macOS。
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