Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问许可证需确认审计通过

docker-patternsDocker 模式

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

93,936

周安装

3,819

GitHub Stars

170,323

下载量

29,488
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:docker-patterns(Docker 模式)
来源仓库:https://github.com/affaan-m/everything-claude-code
仓库路径:skills/docker-patterns
安装命令:
npx skills add https://github.com/affaan-m/everything-claude-code --skill docker-patterns
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/affaan-m/everything-claude-code --skill docker-patterns

简介

Docker 和 Docker Compose 模式用于本地开发、多服务编排和容器安全。

  • 涵盖具有开发、构建和生产目标的多阶段 Dockerfile;使用 PostgreSQL、Redis 和 Mailpit 进行 Web 应用程序堆栈的 Docker Compose 配置;并覆盖特定于环境的设置的文件
  • 包括通过容器网络进行服务发现、自定义网络隔离以及用于数据持久化和热重加载的卷策略(命名卷、绑定挂载、匿名卷)
  • 提供容器强化实践:非 root 用户、能力下降、只读文件系统以及通过环境变量和 Docker 机密进行机密管理
  • 提供日志、容器检查、网络故障排除、资源监控等调试命令;记录反模式,例如以 root 身份运行、使用最新标签以及在没有卷的情况下存储数据

SKILL.md

Docker Patterns

Docker and Docker Compose best practices for containerized development.

When to Activate

  • Setting up Docker Compose for local development
  • Designing multi-container architectures
  • Troubleshooting container networking or volume issues
  • Reviewing Dockerfiles for security and size
  • Migrating from local dev to containerized workflow

Docker Compose for Local Development

Standard Web App Stack

# docker-compose.yml
services:
  app:
    build:
      context: .
      target: dev                     # Use dev stage of multi-stage Dockerfile
    ports:
      - "3000:3000"
    volumes:
      - .:/app                        # Bind mount for hot reload
      - /app/node_modules             # Anonymous volume -- preserves container deps
    environment:
      - DATABASE_URL=postgres://postgres:postgres@db:5432/app_dev
      - REDIS_URL=redis://redis:6379/0
      - NODE_ENV=development
    depends_on:
      db:
        condition: service_healthy
      redis:
        condition: service_started
    command: npm run dev

  db:
    image: postgres:16-alpine
    ports:
      - "5432:5432"
    environment:
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: postgres
      POSTGRES_DB: app_dev
    volumes:
      - pgdata:/var/lib/postgresql/data
      - ./scripts/init-db.sql:/docker-entrypoint-initdb.d/init.sql
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres"]
      interval: 5s
      timeout: 3s
      retries: 5

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    volumes:
      - redisdata:/data

  mailpit:                            # Local email testing
    image: axllent/mailpit
    ports:
      - "8025:8025"                   # Web UI
      - "1025:1025"                   # SMTP

volumes:
  pgdata:
  redisdata:

Development vs Production Dockerfile

# Stage: dependencies
FROM node:22-alpine AS deps
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci

# Stage: dev (hot reload, debug tools)
FROM node:22-alpine AS dev
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
EXPOSE 3000
CMD ["npm", "run", "dev"]

# Stage: build
FROM node:22-alpine AS build
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN npm run build && npm prune --production

# Stage: production (minimal image)
FROM node:22-alpine AS production
WORKDIR /app
RUN addgroup -g 1001 -S appgroup && adduser -S appuser -u 1001
USER appuser
COPY --from=build --chown=appuser:appgroup /app/dist ./dist
COPY --from=build --chown=appuser:appgroup /app/node_modules ./node_modules
COPY --from=build --chown=appuser:appgroup /app/package.json ./
ENV NODE_ENV=production
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/server.js"]

Override Files

# docker-compose.override.yml (auto-loaded, dev-only settings)
services:
  app:
    environment:
      - DEBUG=app:*
      - LOG_LEVEL=debug
    ports:
      - "9229:9229"                   # Node.js debugger

# docker-compose.prod.yml (explicit for production)
services:
  app:
    build:
      target: production
    restart: always
    deploy:
      resources:
        limits:
          cpus: "1.0"
          memory: 512M
# Development (auto-loads override)
docker compose up

# Production
docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d

Networking

Service Discovery

Services in the same Compose network resolve by service name:

# From "app" container:
postgres://postgres:postgres@db:5432/app_dev    # "db" resolves to the db container
redis://redis:6379/0                             # "redis" resolves to the redis container

Custom Networks

services:
  frontend:
    networks:
      - frontend-net

  api:
    networks:
      - frontend-net
      - backend-net

  db:
    networks:
      - backend-net              # Only reachable from api, not frontend

networks:
  frontend-net:
  backend-net:

Exposing Only What's Needed

services:
  db:
    ports:
      - "127.0.0.1:5432:5432"   # Only accessible from host, not network
    # Omit ports entirely in production -- accessible only within Docker network

Volume Strategies

volumes:
  # Named volume: persists across container restarts, managed by Docker
  pgdata:

  # Bind mount: maps host directory into container (for development)
  # - ./src:/app/src

  # Anonymous volume: preserves container-generated content from bind mount override
  # - /app/node_modules

Common Patterns

services:
  app:
    volumes:
      - .:/app                   # Source code (bind mount for hot reload)
      - /app/node_modules        # Protect container's node_modules from host
      - /app/.next               # Protect build cache

  db:
    volumes:
      - pgdata:/var/lib/postgresql/data          # Persistent data
      - ./scripts/init.sql:/docker-entrypoint-initdb.d/init.sql  # Init scripts

Container Security

Dockerfile Hardening

# 1. Use specific tags (never :latest)
FROM node:22.12-alpine3.20

# 2. Run as non-root
RUN addgroup -g 1001 -S app && adduser -S app -u 1001
USER app

# 3. Drop capabilities (in compose)
# 4. Read-only root filesystem where possible
# 5. No secrets in image layers

Compose Security

services:
  app:
    security_opt:
      - no-new-privileges:true
    read_only: true
    tmpfs:
      - /tmp
      - /app/.cache
    cap_drop:
      - ALL
    cap_add:
      - NET_BIND_SERVICE          # Only if binding to ports < 1024

Secret Management

# GOOD: Use environment variables (injected at runtime)
services:
  app:
    env_file:
      - .env                     # Never commit .env to git
    environment:
      - API_KEY                  # Inherits from host environment

# GOOD: Docker secrets (Swarm mode)
secrets:
  db_password:
    file: ./secrets/db_password.txt

services:
  db:
    secrets:
      - db_password

# BAD: Hardcoded in image
# ENV API_KEY=sk-proj-xxxxx      # NEVER DO THIS

.dockerignore

node_modules
.git
.env
.env.*
dist
coverage
*.log
.next
.cache
docker-compose*.yml
Dockerfile*
README.md
tests/

Debugging

Common Commands

# View logs
docker compose logs -f app           # Follow app logs
docker compose logs --tail=50 db     # Last 50 lines from db

# Execute commands in running container
docker compose exec app sh           # Shell into app
docker compose exec db psql -U postgres  # Connect to postgres

# Inspect
docker compose ps                     # Running services
docker compose top                    # Processes in each container
docker stats                          # Resource usage

# Rebuild
docker compose up --build             # Rebuild images
docker compose build --no-cache app   # Force full rebuild

# Clean up
docker compose down                   # Stop and remove containers
docker compose down -v                # Also remove volumes (DESTRUCTIVE)
docker system prune                   # Remove unused images/containers

Debugging Network Issues

# Check DNS resolution inside container
docker compose exec app nslookup db

# Check connectivity
docker compose exec app wget -qO- http://api:3000/health

# Inspect network
docker network ls
docker network inspect <project>_default

Anti-Patterns

# BAD: Using docker compose in production without orchestration
# Use Kubernetes, ECS, or Docker Swarm for production multi-container workloads

# BAD: Storing data in containers without volumes
# Containers are ephemeral -- all data lost on restart without volumes

# BAD: Running as root
# Always create and use a non-root user

# BAD: Using :latest tag
# Pin to specific versions for reproducible builds

# BAD: One giant container with all services
# Separate concerns: one process per container

# BAD: Putting secrets in docker-compose.yml
# Use .env files (gitignored) or Docker secrets

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.17%
按下载量换算11,256

Claude

27.33%
按下载量换算8,059

Cursor

19.17%
按下载量换算5,653

Gemini CLI

8.61%
按下载量换算2,539

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills