Docker 核心指南：掌握容器管理 - Openclaw Skills

什么是 Docker 核心指南？

Docker 核心指南是一项旨在简化容器化开发和运维的技术资源。它提供了一种结构化的方法来管理整个容器生命周期，从使用 Dockerfile 进行初始镜像构建，到使用 Docker Compose 进行复杂的镜像服务编排。对于需要维护一致环境并高效调试服务的 Openclaw Skills 用户来说，这项技能尤为重要。

该技能涵盖了容器技术的核心支柱，包括网络、通过数据卷实现的持久化数据存储以及系统范围的资源管理。通过整合这些工作流，开发者可以确保其应用程序在 Openclaw Skills 生态系统中具有可移植性、可扩展性且易于维护。

下载入口:https://github.com/openclaw/skills/tree/main/skills/arnarsson/docker-essentials

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

npx clawhub@latest install docker-essentials

2. 手动安装

将技能文件夹复制到以下位置之一

全局模式 ~/.openclaw/skills/ 工作区 <project>/skills/

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

请帮我使用 Clawhub 安装 docker-essentials。如果尚未安装 Clawhub，请先安装（npm i -g clawhub）。

Docker 核心指南 应用场景

• 使用特定的语言运行时和依赖项创建隔离的开发环境。
• 通过流式传输容器日志和执行交互式 shell 来排查应用程序错误。
• 管理本地数据库实例，并使用持久卷挂载以确保数据一致性。
• 自动清理悬空镜像和未使用的网络，以回收系统磁盘空间。
• 使用 Docker Compose 部署多服务架构，进行本地集成测试。

Docker 核心指南 工作原理

1. 开发者触发与容器相关的任务，例如构建新镜像或启动服务。
2. 该技能参考适当的 Docker CLI 命令，应用最佳标志，如用于清理的 --rm 或用于交互的 -it。
3. 通过构建、标记和推送到仓库来管理镜像层，以促进部署。
4. 应用网络和卷配置，确保服务正确通信且数据在容器重启后依然存在。
5. 调用系统级维护命令，保持宿主环境清洁且高效，以便进行其他 Openclaw Skills 操作。

Docker 核心指南 配置指南

要使用此技能，请确保系统中已安装并运行 Docker Engine。docker 和 docker-compose 二进制文件必须在系统的 PATH 中可访问。

# 检查 Docker 是否已安装
docker --version

# 验证 Docker Compose 安装
docker-compose --version

# 通过运行 hello-world 容器测试权限
docker run --rm hello-world

Docker 核心指南 数据架构与分类体系

该技能将 Docker 对象组织为几个关键分类，以便在管理期间提供清晰度：

组件	管理的数据	目的
容器	ID、状态、端口	运行时执行和进程隔离
镜像	标签、层、大小	容器实例的版本化蓝图
数据卷	挂载点、驱动程序	容器生命周期之外的持久数据存储
网络	子网、网关	内部和外部通信通道
Compose	服务、依赖项	多容器应用程序定义

name: docker-essentials
description: Essential Docker commands and workflows for container management, image operations, and debugging.
homepage: https://docs.docker.com/
metadata: {"clawdbot":{"emoji":"??","requires":{"bins":["docker"]}}}

Docker Essentials

Essential Docker commands for container and image management.

Container Lifecycle

Running containers

# Run container from image
docker run nginx

# Run in background (detached)
docker run -d nginx

# Run with name
docker run --name my-nginx -d nginx

# Run with port mapping
docker run -p 8080:80 -d nginx

# Run with environment variables
docker run -e MY_VAR=value -d app

# Run with volume mount
docker run -v /host/path:/container/path -d app

# Run with auto-remove on exit
docker run --rm alpine echo "Hello"

# Interactive terminal
docker run -it ubuntu bash

Managing containers

# List running containers
docker ps

# List all containers (including stopped)
docker ps -a

# Stop container
docker stop container_name

# Start stopped container
docker start container_name

# Restart container
docker restart container_name

# Remove container
docker rm container_name

# Force remove running container
docker rm -f container_name

# Remove all stopped containers
docker container prune

Container Inspection & Debugging

Viewing logs

# Show logs
docker logs container_name

# Follow logs (like tail -f)
docker logs -f container_name

# Last 100 lines
docker logs --tail 100 container_name

# Logs with timestamps
docker logs -t container_name

Executing commands

# Execute command in running container
docker exec container_name ls -la

# Interactive shell
docker exec -it container_name bash

# Execute as specific user
docker exec -u root -it container_name bash

# Execute with environment variable
docker exec -e VAR=value container_name env

Inspection

# Inspect container details
docker inspect container_name

# Get specific field (JSON path)
docker inspect -f '{{.NetworkSettings.IPAddress}}' container_name

# View container stats
docker stats

# View specific container stats
docker stats container_name

# View processes in container
docker top container_name

Image Management

Building images

# Build from Dockerfile
docker build -t myapp:1.0 .

# Build with custom Dockerfile
docker build -f Dockerfile.dev -t myapp:dev .

# Build with build args
docker build --build-arg VERSION=1.0 -t myapp .

# Build without cache
docker build --no-cache -t myapp .

Managing images

# List images
docker images

# Pull image from registry
docker pull nginx:latest

# Tag image
docker tag myapp:1.0 myapp:latest

# Push to registry
docker push myrepo/myapp:1.0

# Remove image
docker rmi image_name

# Remove unused images
docker image prune

# Remove all unused images
docker image prune -a

Docker Compose

Basic operations

# Start services
docker-compose up

# Start in background
docker-compose up -d

# Stop services
docker-compose down

# Stop and remove volumes
docker-compose down -v

# View logs
docker-compose logs

# Follow logs for specific service
docker-compose logs -f web

# Scale service
docker-compose up -d --scale web=3

Service management

# List services
docker-compose ps

# Execute command in service
docker-compose exec web bash

# Restart service
docker-compose restart web

# Rebuild service
docker-compose build web

# Rebuild and restart
docker-compose up -d --build

Networking

# List networks
docker network ls

# Create network
docker network create mynetwork

# Connect container to network
docker network connect mynetwork container_name

# Disconnect from network
docker network disconnect mynetwork container_name

# Inspect network
docker network inspect mynetwork

# Remove network
docker network rm mynetwork

Volumes

# List volumes
docker volume ls

# Create volume
docker volume create myvolume

# Inspect volume
docker volume inspect myvolume

# Remove volume
docker volume rm myvolume

# Remove unused volumes
docker volume prune

# Run with volume
docker run -v myvolume:/data -d app

System Management

# View disk usage
docker system df

# Clean up everything unused
docker system prune

# Clean up including unused images
docker system prune -a

# Clean up including volumes
docker system prune --volumes

# Show Docker info
docker info

# Show Docker version
docker version

Common Workflows

Development container:

docker run -it --rm r
  -v $(pwd):/app r
  -w /app r
  -p 3000:3000 r
  node:18 r
  npm run dev

Database container:

docker run -d r
  --name postgres r
  -e POSTGRES_PASSWORD=secret r
  -e POSTGRES_DB=mydb r
  -v postgres-data:/var/lib/postgresql/data r
  -p 5432:5432 r
  postgres:15

Quick debugging:

# Shell into running container
docker exec -it container_name sh

# Copy file from container
docker cp container_name:/path/to/file ./local/path

# Copy file to container
docker cp ./local/file container_name:/path/in/container

Multi-stage build:

# Dockerfile
FROM node:18 AS builder
WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build

FROM nginx:alpine
COPY --from=builder /app/dist /usr/share/nginx/html

Useful Flags

docker run flags:

• -d: Detached mode (background)
• -it: Interactive terminal
• -p: Port mapping (host:container)
• -v: Volume mount
• -e: Environment variable
• --name: Container name
• --rm: Auto-remove on exit
• --network: Connect to network

docker exec flags:

• -it: Interactive terminal
• -u: User
• -w: Working directory

Tips

• Use .dockerignore to exclude files from build context
• Combine RUN commands in Dockerfile to reduce layers
• Use multi-stage builds to reduce image size
• Always tag your images with versions
• Use --rm for one-off containers
• Use docker-compose for multi-container apps
• Clean up regularly with docker system prune

Documentation

Official docs: https://docs.docker.com/ Dockerfile reference: https://docs.docker.com/engine/reference/builder/ Compose file reference: https://docs.docker.com/compose/compose-file/