AgentSkillsCN

devops

可部署至 Cloudflare（Workers、R2、D1）、Docker、GCP（Cloud Run、GKE）、Kubernetes（kubectl、Helm）。适用于无服务器架构、容器化应用、CI/CD 流水线、GitOps 流程以及安全审计任务。

SKILL.md
--- frontmatter
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

NeedChoose
Sub-50ms latency globallyCloudflare Workers
Large file storage (zero egress)Cloudflare R2
SQL database (global reads)Cloudflare D1
Containerized workloadsDocker + Cloud Run/GKE
Enterprise KubernetesGKE
Managed relational DBCloud SQL
Static site + APICloudflare Pages
Container orchestrationKubernetes
Package management for K8sHelm

Quick Start

bash
# 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