
Docker Management
FreeEfficiently manage Docker containers and images with ease.
Free · Opens the source repo
What Docker Management does
Docker Management is a skill designed for developers and DevOps engineers who need to manage Docker containers, images, volumes, and networks efficiently. By utilizing standard Docker CLI commands, this skill allows users to perform a wide range of operations without any additional dependencies beyond Docker itself. Whether you're running containers, building images, or managing multi-service stacks with Docker Compose, this skill provides a comprehensive set of commands to streamline your workflow.
With Docker Management, you can easily run, stop, or inspect containers, and manage the entire lifecycle of your Docker images. The skill also supports Docker Compose, enabling you to work with complex applications consisting of multiple services. This is particularly useful for developers who need to orchestrate their applications and ensure that all components work seamlessly together. Additionally, the skill includes commands for debugging containers, analyzing logs, and optimizing Dockerfiles, making it an essential tool for troubleshooting and performance tuning.
This skill is ideal for both beginners and experienced users of Docker. Beginners will find the quick reference commands helpful for getting started, while advanced users can leverage the detailed procedures for more complex tasks. The prerequisite of having Docker Engine installed and running ensures that users are equipped to take full advantage of the skill's capabilities. Overall, Docker Management is a valuable addition for anyone looking to enhance their Docker usage and streamline container management processes.
When to use it
Use this skill when you need to manage Docker containers, images, or networks, or when working with Docker Compose for multi-service applications.
When not to use it
This skill may not be suitable if you are looking for a graphical user interface for Docker management or if your environment does not support Docker.
What you can build with it
Running a Web Server
Quickly deploy a web server using Docker by running a container with the desired image and port mapping.
Managing Multi-Service Applications
Use Docker Compose to start and manage a multi-service application, ensuring all components are running correctly.
Cleaning Up Unused Images
Easily clean up dangling or unused Docker images and containers to free up disk space.
How to install Docker Management
View source1. Install with the skills CLI
npx skills add nousresearch/hermes-agent/docker-management --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by nousresearchDocker Management
Manage Docker containers, images, volumes, networks, and Compose stacks using standard Docker CLI commands. No additional dependencies beyond Docker itself.
When to Use
- Run, stop, restart, remove, or inspect containers
- Build, pull, push, tag, or clean up Docker images
- Work with Docker Compose (multi-service stacks)
- Manage volumes or networks
- Debug a crashing container or analyze logs
- Check Docker disk usage or free up space
- Review or optimize a Dockerfile
Prerequisites
- Docker Engine installed and running
- User added to the
dockergroup (or usesudo) - Docker Compose v2 (included with modern Docker installations)
Quick check:
docker --version && docker compose version
Quick Reference
| Task | Command |
|---|---|
| Run container (background) | docker run -d --name NAME IMAGE |
| Stop + remove | docker stop NAME && docker rm NAME |
| View logs (follow) | docker logs --tail 50 -f NAME |
| Shell into container | docker exec -it NAME /bin/sh |
| List all containers | docker ps -a |
| Build image | docker build -t TAG . |
| Compose up | docker compose up -d |
| Compose down | docker compose down |
| Disk usage | docker system df |
| Cleanup dangling | docker image prune && docker container prune |
Procedure
1. Identify the domain
Figure out which area the request falls into:
- Container lifecycle → run, stop, start, restart, rm, pause/unpause
- Container interaction → exec, cp, logs, inspect, stats
- Image management → build, pull, push, tag, rmi, save/load
- Docker Compose → up, down, ps, logs, exec, build, config
- Volumes & networks → create, inspect, rm, prune, connect
- Troubleshooting → log analysis, exit codes, resource issues
2. Container operations
Run a new container:
# Detached service with port mapping
docker run -d --name web -p 8080:80 nginx
# With environment variables
docker run -d -e POSTGRES_PASSWORD=secret -e POSTGRES_DB=mydb --name db postgres:16
# With persistent data (named volume)
docker run -d -v pgdata:/var/lib/postgresql/data --name db postgres:16
# For development (bind mount source code)
docker run -d -v $(pwd)/src:/app/src -p 3000:3000 --name dev my-app
# Interactive debugging (auto-remove on exit)
docker run -it --rm ubuntu:22.04 /bin/bash
# With resource limits and restart policy
docker run -d --memory=512m --cpus=1.5 --restart=unless-stopped --name app my-app
Key flags: -d detached, -it interactive+tty, --rm auto-remove, -p port (host:container), -e env var, -v volume, --name name, --restart restart policy.
Manage running containers:
docker ps # running containers
docker ps -a # all (including stopped)
docker stop NAME # graceful stop
docker start NAME # start stopped container
docker restart NAME # stop + start
docker rm NAME # remove stopped container
docker rm -f NAME # force remove running container
docker container prune # remove ALL stopped containers
Interact with containers:
docker exec -it NAME /bin/sh # shell access (use /bin/bash if available)
docker exec NAME env # view environment variables
docker exec -u root NAME apt update # run as specific user
docker logs --tail 100 -f NAME # follow last 100 lines
docker logs --since 2h NAME # logs from last 2 hours
docker cp NAME:/path/file ./local # copy file from container
docker cp ./file NAME:/path/ # copy file to container
docker inspect NAME # full container details (JSON)
docker stats --no-stream # resource usage snapshot
docker top NAME # running processes
3. Image management
# Build
docker build -t my-app:latest .
docker build -t my-app:prod -f Dockerfile.prod .
docker build --no-cache -t my-app . # clean rebuild
DOCKER_BUILDKIT=1 docker build -t my-app . # faster with BuildKit
# Pull and push
docker pull node:20-alpine
docker login ghcr.io
docker tag my-app:latest registry/my-app:v1.0
docker push registry/my-app:v1.0
# Inspect
docker images # list local images
docker history IMAGE # see layers
docker inspect IMAGE # full details
# Cleanup
docker image prune # remove dangling (untagged) images
docker image prune -a # remove ALL unused images (careful!)
docker image prune -a --filter "until=168h" # unused images older than 7 days
4. Docker Compose
# Start/stop
docker compose up -d # start all services detached
docker compose up -d --build # rebuild images before starting
docker compose down # stop and remove containers
docker compose down -v # also remove volumes (DESTROYS DATA)
# Monitoring
docker compose ps # list services
docker compose logs -f api # follow logs for specific service
docker compose logs --tail 50 # last 50 lines all services
# Interaction
docker compose exec api /bin/sh # shell into running service
docker compose run --rm api npm test # one-off command (new container)
docker compose restart api # restart specific service
# Validation
docker compose config # validate and view resolved config
Minimal compose.yml example:
services:
api:
build: .
ports:
- "3000:3000"
environment:
# Password comes from the POSTGRES_PASSWORD secret, not the URL
- DATABASE_URL=postgres://mydb_user@db:5432/mydb
depends_on:
db:
condition: service_healthy
db:
image: postgres:16-alpine
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: pass
POSTGRES_DB: mydb
volumes:
- pgdata:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U user"]
interval: 10s
timeout: 5s
retries: 5
volumes:
pgdata:
5. Volumes and networks
# Volumes
docker volume ls # list volumes
docker volume create mydata # create named volume
docker volume inspect mydata # details (mount point, etc.)
docker volume rm mydata # remove (fails if in use)
docker volume prune # remove unused volumes
# Networks
docker network ls # list networks
docker network create mynet # create bridge network
docker network inspect mynet # details (connected containers)
docker network connect mynet NAME # attach container to network
docker network disconnect mynet NAME # detach container
docker network rm mynet # remove network
docker network prune # remove unused networks
6. Disk usage and cleanup
Always start with a diagnostic before cleaning:
# Check what's using space
docker system df # summary
docker system df -v # detailed breakdown
# Targeted cleanup (safe)
docker container prune # stopped containers
docker image prune # dangling images
docker volume prune # unused volumes
docker network prune # unused networks
# Aggressive cleanup (confirm with user first!)
docker system prune # containers + images + networks
docker system prune -a # also unused images
docker system prune -a --volumes # EVERYTHING — named volumes too
Warning: Never run docker system prune -a --volumes without confirming with the user. This removes named volumes with potentially important data.
Pitfalls
| Problem | Cause | Fix |
|---|---|---|
| Container exits immediately | Main process finished or crashed | Check docker logs NAME, try docker run -it --entrypoint /bin/sh IMAGE |
| "port is already allocated" | Another process using that port | docker ps or lsof -i :PORT to find it |
| "no space left on device" | Docker disk full | docker system df then targeted prune |
| Can't connect to container | App binds to 127.0.0.1 inside container | App must bind to 0.0.0.0, check -p mapping |
| Permission denied on volume | UID/GID mismatch host vs container | Use --user $(id -u):$(id -g) or fix permissions |
| Compose services can't reach each other | Wrong network or service name | Services use service name as hostname, check docker compose config |
| Build cache not working | Layer order wrong in Dockerfile | Put rarely-changing layers first (deps before source code) |
| Image too large | No multi-stage build, no .dockerignore | Use multi-stage builds, add .dockerignore |
Verification
After any Docker operation, verify the result:
- Container started? →
docker ps(check status is "Up") - Logs clean? →
docker logs --tail 20 NAME(no errors) - Port accessible? →
curl -s http://localhost:PORTordocker port NAME - Image built? →
docker images | grep TAG - Compose stack healthy? →
docker compose ps(all services "running" or "healthy") - Disk freed? →
docker system df(compare before/after)
Dockerfile Optimization Tips
When reviewing or creating a Dockerfile, suggest these improvements:
- Multi-stage builds — separate build environment from runtime to reduce final image size
- Layer ordering — put dependencies before source code so changes don't invalidate cached layers
- Combine RUN commands — fewer layers, smaller image
- Use .dockerignore — exclude
node_modules,.git,__pycache__, etc. - Pin base image versions —
node:20-alpinenotnode:latest - Run as non-root — add
USERinstruction for security - Use slim/alpine bases —
python:3.12-slimnotpython:3.12
Frequently asked questions about Docker Management
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