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/devops

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

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auto-company
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Claude Code

$ npx -y skills add nicepkg/auto-company --skill devops --agent claude-code

SKILL.md

devops.SKILL.md
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
Read more
@nicepkg
Ships withauto-company

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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Questions about devops.

Which coding agents can use devops?
devops installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.