net-docker

为 ASP.NET Core 应用生成容器化配置,支持多阶段构建、本地开发编排及生产级部署,集成健康检查、环境隔离与依赖服务联动,适用于从开发到上线的全流程容器化需求。

快捷安装

在终端运行此命令,即可一键安装该 Skill 到您的 Claude 中

npx skills add mitkox/ai-coding-factory --skill "net-docker"

What I Do

I create Docker configuration for .NET apps:

  • Multi-stage Dockerfile
  • docker-compose for local development
  • Production-ready configuration
  • Health checks
  • Volume mounts
  • Environment variables

When to Use Me

Use this skill when:

  • Containerizing .NET application
  • Setting up local development environment
  • Preparing for deployment
  • Creating container orchestration

Docker Files

Multi-stage Dockerfile

# Build stage
FROM mcr.microsoft.com/dotnet/sdk:8.0 AS build
WORKDIR /src
COPY ["src/ProjectName.Api/ProjectName.Api.csproj", "ProjectName.Api/"]
COPY ["src/ProjectName.Application/ProjectName.Application.csproj", "ProjectName.Application/"]
COPY ["src/ProjectName.Domain/ProjectName.Domain.csproj", "ProjectName.Domain/"]
COPY ["src/ProjectName.Infrastructure/ProjectName.Infrastructure.csproj", "ProjectName.Infrastructure/"]
RUN dotnet restore "ProjectName.Api/ProjectName.Api.csproj"
COPY . .
WORKDIR "/src/ProjectName.Api"
RUN dotnet build "ProjectName.Api.csproj" -c Release -o /app/build

# Publish stage
FROM build AS publish
RUN dotnet publish "ProjectName.Api.csproj" -c Release -o /app/publish /p:UseAppHost=false

# Runtime stage
FROM mcr.microsoft.com/dotnet/aspnet:8.0 AS final
WORKDIR /app
EXPOSE 80
EXPOSE 443
COPY --from=publish /app/publish .
ENTRYPOINT ["dotnet", "ProjectName.Api.dll"]
HEALTHCHECK --interval=30s --timeout=3s \
  CMD curl -f http://localhost/health || exit 1

Docker Compose

version: '3.8'

services:
  api:
    build:
      context: .
      dockerfile: Dockerfile
    ports:
      - "5000:80"
      - "5001:443"
    environment:
      - ASPNETCORE_ENVIRONMENT=Development
      - ConnectionStrings__DefaultConnection=Host=db;Database=appdb;Username=app;Password=app
      - JwtSettings__Secret=your-secret-key
    depends_on:
      db:
        condition: service_healthy
    volumes:
      - ./src/ProjectName.Api/appsettings.Development.json:/app/appsettings.Development.json
    networks:
      - app-network

  db:
    image: postgres:15-alpine
    environment:
      - POSTGRES_DB=appdb
      - POSTGRES_USER=app
      - POSTGRES_PASSWORD=app
    ports:
      - "5432:5432"
    volumes:
      - postgres-data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U app"]
      interval: 10s
      timeout: 5s
      retries: 5
    networks:
      - app-network

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    volumes:
      - redis-data:/data
    networks:
      - app-network

volumes:
  postgres-data:
  redis-data:

networks:
  app-network:
    driver: bridge

Dockerignore

**/bin/
**/obj/
**/out/
**/.vs/
**/TestResults/
**/*.user
**/*.suo
**/*.cache
**/*.log
**/.vscode/
**/*.md
.git/
.gitignore
docker-compose*.yml
Dockerfile*

Best Practices

  1. Use multi-stage builds for smaller images
  2. Use specific version tags (not latest)
  3. Don’t run as root (create non-root user)
  4. Implement health checks
  5. Use environment variables for configuration
  6. Use volumes for persistence
  7. Use networks for service communication
  8. Optimize layer caching

Production Considerations

  1. Use Alpine images for smaller size
  2. Scan images for vulnerabilities
  3. Sign images for security
  4. Use secrets management (not env vars in prod)
  5. Implement resource limits
  6. Use orchestration (Kubernetes)
  7. Configure logging driver
  8. Set up monitoring

Example Usage

Create Docker configuration with:
- Multi-stage Dockerfile
- docker-compose for local dev
- PostgreSQL database
- Redis cache
- Health checks
- Volume mounts

I will generate complete Docker configuration.