docker-build-deploy
Use when containerizing a Node.js app and setting up GitHub Actions CI/CD to build, push to GHCR, and deploy via SSH. Multi-stage build, non-root user, caching.
Works with
---
name: docker-build-deploy
description: Use when containerizing a Node.js app and setting up GitHub Actions CI/CD to build, push to GHCR, and deploy via SSH. Multi-stage build, non-root user, caching.
license: MIT
---
# Docker Build & Deploy
一键生成 Docker 构建 + 推送到 GHCR + 部署到服务器的 GitHub Actions 工作流。
## Overview
自动生成完整的 Docker CI/CD 工作流:构建镜像 → 推送到 GHCR → SSH 部署到服务器。包含优化的 Dockerfile(多阶段构建、非 root、健康检查)和 GitHub Actions 工作流模板。
## When to Use
- User wants to containerize a project and deploy it
- User needs GitHub Actions to automatically build Docker images
- User mentions Docker, GHCR, container deployment, or CI/CD
- User inputs `/docker-build-deploy`
- User wants to set up continuous deployment pipeline
- User wants to push images to a container registry
- User wants to automate deployment to a remote server via SSH
- User wants to optimize existing Dockerfile with multi-stage builds
- User wants to add health checks to container deployment
**When NOT to Use:**
- User only wants to write a Dockerfile
- User deploys with Kubernetes (different workflow - consider `kubectl` or Helm)
- User doesn't use GitHub Actions (consider GitLab CI, CircleCI, etc.)
- User wants to deploy to AWS ECS/EKS, Google Cloud Run, or Azure Container Instances (different workflows)
## Core Pattern
### Step 1: 收集信息
交互式询问:`port`(容器内端口,默认 3000)、`host_port`(对外暴露端口,默认同 port)、`env_file`(服务器 env 路径,可选)。
智能检测:有 `package.json` → Node.js(当前唯一支持的项目类型)。已有 Dockerfile 则跳过生成。
### Step 2: 生成 Dockerfile(如需要)
生成优化的 Node.js Dockerfile:多阶段构建、非 root 用户、健康检查。模板见 `templates/Dockerfile.nodejs`。
### Step 3: 生成 Workflow
从 `templates/docker-deploy.yml` 生成工作流,替换 `{{PORT}}`(容器端口)、`{{HOST_PORT}}`(对外端口)和 `{{ENV_FILE}}` 变量。
**build-and-push job:** 登录 GHCR → Buildx 构建 → 推送(tag: latest + sha)→ GHA 缓存
**deploy job:** SSH 连接 → 拉取镜像 → 停旧容器 → 启新容器(支持 env 文件)→ 清理旧镜像
### Step 4: 提示配置 Secrets
告知用户需在 GitHub Settings → Secrets 配置:`DEPLOY_HOST`、`DEPLOY_USER`、`DEPLOY_SSH_KEY`(服务器私钥)。
> 安全性:使用 SSH key 而非密码(密码登录有爆破风险,且明文存于 CI)。若服务器只支持密码,可改用 `password: ${{ secrets.DEPLOY_PASSWORD }}`,但不推荐。
## Quick Reference
```bash
/docker-build-deploy
/docker-build-deploy --port 8080
/docker-build-deploy --port 8080 --env-file /opt/app/.env
```
| 参数 | 说明 | 默认值 |
|------|------|--------|
| `--port` | 容器内应用端口 | 3000 |
| `--host-port` | 服务器对外暴露端口 | 同 `--port` |
| `--env-file` | 服务器 env 文件路径 | 空 |
## Common Mistakes
| 错误 | 正确做法 | 原因 |
|------|----------|------|
| 用 `latest` 单 tag | 同时打 `latest` + `${{ github.sha }}` | 方便回滚 |
| 不设置 `packages: write` 权限 | 声明 `permissions: packages: write` | GHCR 推送需要 |
| deploy 不检查容器是否存在 | 先 `docker stop` + `docker rm` | 避免端口冲突 |
| 不清理旧镜像 | 部署后 `docker image prune -f` | 磁盘空间 |
| Dockerfile 用 root 运行 | 添加 `USER node` 或非 root 用户 | 容器安全最佳实践 |
| Secrets 硬编码在 workflow 中 | 使用 `${{ secrets.XXX }}` 引用 | 密钥泄露风险 |
| 不设置 Docker BuildKit 缓存 | 配置 `cache-from` / `cache-to` using GitHub Actions cache | 每次全量构建太慢 |
| 不处理构建失败的回滚 | 部署后验证健康检查 | 失败部署可能上线错误版本 |
| 用密码 SSH 部署 | 使用 SSH key(`DEPLOY_SSH_KEY`) | 密码爆破风险高 |
| 平台声明与服务器架构不符 | 按服务器架构声明 `linux/amd64` 或 `linux/arm64`;多平台构建时写 `linux/amd64,linux/arm64` | 目标架构不匹配导致运行失败 |More DevOps & Infrastructure skills
azure-ai
microsoft/azure-skills
Use 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.
appinsights-instrumentation
microsoft/azure-skills
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
azure-storage
microsoft/azure-skills
Azure Storage Services including Blob Storage, File Shares, Queue Storage, Table Storage, and Data Lake. Answers questions about storage access tiers (hot, cool, cold, archive), when to use each tier, and tier comparison. Provides object storage, SMB file shares, async messaging, NoSQL key-value, and big data analytics. Includes lifecycle management. USE FOR: blob storage, file shares, queue storage, table storage, data lake, upload files, download blobs, storage accounts, access tiers, storage tiers, hot cool cold archive, storage tier comparison, when to use storage tiers, lifecycle management, Azure Storage concepts. DO NOT USE FOR: SQL databases, Cosmos DB (use azure-prepare), messaging with Event Hubs or Service Bus (use azure-messaging).

