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hermes-agent/website/docs/user-guide/skills/optional/devops/devops-docker-management.md
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Teknium c49fa88b80 refactor(skills): shipped-set slim — 15 to optional, github 6-way merge, pdf absorbs OCR, channel-gated teams pipeline (index −26%) (#98539)
* refactor(skills): shipped-set slim — 15 skills to optional, github six-way merge, pdf absorbs OCR+nano-pdf, channel-gated teams pipeline

Maintainer-directed shipped-skills curation (skills index 1,900 -> ~1,400
tok/call on desktop; every session pays the index, so this is a per-call
diet on all installs):

- optional-skills moves (installable via skills hub, history preserved):
  creative comfyui/ascii-art/excalidraw/pretext/sketch/touchdesigner-mcp;
  ALL of mlops (huggingface-hub, llama-cpp, serving-llms-vllm,
  weights-and-biases, evaluating-llms-harness — subcategory structure
  kept); research-paper-writing (55 supporting files, 17.3K-tok load);
  openhue; blogwatcher (first taught the cronjob monitor-field watch
  pattern + web_extract instead of pre-cron manual workflows)
- DELETED session-librarian (Aug-12 'inspired by Perplexity Computer'
  port, never maintainer-intended; session_search covers discovery)
- github: six skills (auth, issues, pr-workflow, issue-to-pr,
  code-review, repo-management) merged into ONE software-development/
  github skill — routing body + complete per-workflow references;
  benbarclay authorship credited; codebase-inspection rides along;
  discipline pins from test_github_issue_to_pr_skill.py preserved
  against the reference body in the new test_github_skill.py
- pdf absorbs ocr-and-documents + nano-pdf as references/ + scripts
  (extract_pymupdf, extract_marker converted to the argparse house
  standard its contract test enforces)
- NEW session_platforms frontmatter gate (metadata.hermes): hides a
  skill from the index on gateway channels it is not for; fail-open on
  unknown platform; teams-meeting-pipeline gated to [teams, cron]
- blocked-page-recovery: research -> new web category; trigger-first
  description ('Use when a fetch fails: 403/429, paywall, WAF, bot
  wall.') so the model actually reaches for it on blocked fetches
- docs regenerated via generate-skill-docs.py (195 pages); related_skills
  swept repo-wide; tests: 1672 passed (2 openclaw failures pre-existing
  on clean main, Windows-local)

* chore: ignore .skills_prompt_snapshot.json (local index cache, accidentally committed)
2026-08-30 04:53:39 -07:00

11 KiB

title, sidebar_label, description
title sidebar_label description
Docker Management — Manage Docker containers, images, volumes, and Compose Docker Management Manage Docker containers, images, volumes, and Compose

{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}

Docker Management

Manage Docker containers, images, volumes, and Compose.

Skill metadata

Source Optional — install with hermes skills install official/devops/docker-management
Path optional-skills/devops\docker-management
Version 1.0.0
Author sprmn24
License MIT
Platforms linux, macos, windows
Tags docker, containers, devops, infrastructure, compose, images, volumes, networks, debugging

Reference: full SKILL.md

:::info The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active. :::

Docker 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 docker group (or use sudo)
  • 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: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