jawwad-ali/sunday-afternoon-q4/docker

Claude Code and agent skill by jawwad-ali/sunday-afternoon-q4

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Checking that the SKILL.md file is still in the repository.

Use this skill when performing any Docker-related tasks including building images, running containers, managing containers, viewing logs, and working with Docker Compose

Install

npx vskill@latest install jawwad-ali/sunday-afternoon-q4/docker

SKILL.md

Docker Operations Skill

This skill provides comprehensive guidance for all Docker operations in this project.

When to Use This Skill

Use this skill when the user requests any Docker-related operation:

  • Building Docker images
  • Running containers
  • Managing container lifecycle (start, stop, restart, remove)
  • Viewing container logs
  • Working with Docker Compose
  • Inspecting containers and images
  • Docker cleanup operations

Core Operations

Building Images
bash
# Build from Dockerfile in current directory
docker build -t <image-name>:<tag> .
 
# Build with specific Dockerfile
docker build -f Dockerfile.prod -t <image-name>:<tag> .
 
# Build with build arguments
docker build --build-arg NODE_ENV=production -t <image-name>:<tag> .
Running Containers
bash
# Run in detached mode
docker run -d --name <container-name> <image-name>
 
# Run with port mapping
docker run -d -p <host-port>:<container-port> <image-name>
 
# Run with volume mount
docker run -d -v <host-path>:<container-path> <image-name>
 
# Run with environment variables
docker run -d -e VAR_NAME=value <image-name>
 
# Run interactively
docker run -it --rm <image-name> /bin/sh
Container Management
bash
docker ps                    # List running containers
docker ps -a                 # List all containers
docker stop <container>      # Stop a container
docker start <container>     # Start a stopped container
docker restart <container>   # Restart a container
docker rm <container>        # Remove a container
docker rm -f <container>     # Force remove running container
Logs and Inspection
bash
docker logs <container>           # View logs
docker logs -f <container>        # Follow logs
docker logs --tail 100 <container> # Last 100 lines
docker inspect <container>        # Full container details
docker stats                      # Resource usage
Image Management
bash
docker images                # List images
docker pull <image>          # Pull from registry
docker push <image>          # Push to registry
docker rmi <image>           # Remove image
docker tag <src> <dest>      # Tag an image

Docker Compose Operations

bash
docker-compose up              # Start services
docker-compose up -d           # Start in detached mode
docker-compose up --build      # Rebuild and start
docker-compose down            # Stop and remove
docker-compose down -v         # Also remove volumes
docker-compose logs            # View all logs
docker-compose logs <service>  # View service logs
docker-compose ps              # List services
docker-compose exec <svc> sh   # Execute in service

Cleanup Operations

bash
docker system prune           # Remove unused data
docker system prune -a        # Remove all unused images
docker volume prune           # Remove unused volumes
docker network prune          # Remove unused networks
docker container prune        # Remove stopped containers

Additional Resources

Reference Files
  • `references/docker-commands.md` - Complete Docker CLI reference
  • `references/docker-compose.md` - Docker Compose configuration guide
Examples
  • `examples/Dockerfile.example` - Sample Dockerfile for Node.js apps
  • `examples/docker-compose.example.yml` - Sample Docker Compose file
Scripts
  • `scripts/docker-check.sh` - Verify Docker installation and status

Best Practices

  1. Always use specific tags - Avoid using latest in production
  2. Use multi-stage builds - Reduce image size
  3. Don't run as root - Use USER directive in Dockerfile
  4. Use .dockerignore - Exclude unnecessary files
  5. Health checks - Add HEALTHCHECK to Dockerfiles
  6. Resource limits - Set memory and CPU limits in production

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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Source

Popularity

Repository stars
65
Repository forks
6
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 2 May 2026, 6 months ago.

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