OptionalDevOpsVersion 1.0.0

Docker Management with Hermes Agent: Containers, Images, Volumes, Compose

Manage Docker containers, images, volumes, and Compose.

Written by Neura Market from the official Hermes Agent documentation for Docker Management. Commands, paths, and version numbers are reproduced from the source unchanged.

Read the official documentation

This skill equips Hermes Agent to manage Docker containers, images, volumes, networks, and Compose stacks using standard Docker CLI commands. You would reach for it when automating infrastructure tasks like deploying services, cleaning up disk space, or debugging a failing container without leaving the agent's workflow.

What it does

The skill gives the agent the ability to run, stop, restart, remove, or inspect containers; build, pull, push, tag, or clean up Docker images; work with Docker Compose for multi-service stacks; manage volumes or networks; debug a crashing container or analyze logs; check Docker disk usage or free up space; and review or optimize a Dockerfile. It does not install Docker itself, only wraps the commands the agent can call.

Before you start

  • Docker Engine must be installed and running on the host.
  • The user running the agent must be added to the docker group (or the agent must use sudo for every command).
  • Docker Compose v2 is required (it ships with modern Docker installations).

Quick check to confirm everything is ready:

docker --version && docker compose version

If either command fails, install Docker first, then add your user to the docker group and log out and back in.

Quick Reference

TaskCommand
Run container (background)docker run -d --name NAME IMAGE
Stop + removedocker stop NAME && docker rm NAME
View logs (follow)docker logs --tail 50 -f NAME
Shell into containerdocker exec -it NAME /bin/sh
List all containersdocker ps -a
Build imagedocker build -t TAG .
Compose updocker compose up -d
Compose downdocker compose down
Disk usagedocker system df
Cleanup danglingdocker 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:
      - DATABASE_URL=postgres://user:pass@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

ProblemCauseFix
Container exits immediatelyMain process finished or crashedCheck docker logs NAME, try docker run -it --entrypoint /bin/sh IMAGE
"port is already allocated"Another process using that portdocker ps or lsof -i :PORT to find it
"no space left on device"Docker disk fulldocker system df then targeted prune
Can't connect to containerApp binds to 127.0.0.1 inside containerApp must bind to 0.0.0.0, check -p mapping
Permission denied on volumeUID/GID mismatch host vs containerUse --user $(id -u):$(id -g) or fix permissions
Compose services can't reach each otherWrong network or service nameServices use service name as hostname, check docker compose config
Build cache not workingLayer order wrong in DockerfilePut rarely-changing layers first (deps before source code)
Image too largeNo multi-stage build, no .dockerignoreUse 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:PORT or docker 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:

  1. Multi-stage builds, separate build environment from runtime to reduce final image size
  2. Layer ordering, put dependencies before source code so changes don't invalidate cached layers
  3. Combine RUN commands, fewer layers, smaller image
  4. Use .dockerignore, exclude node_modules, .git, __pycache__, etc.
  5. Pin base image versions, node:20-alpine not node:latest
  6. Run as non-root, add USER instruction for security
  7. Use slim/alpine bases, python:3.12-slim not python:3.12

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