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Docker Operator

SkillCloud & infra

Build, run, inspect, and diagnose Docker containers and Compose stacks safely. Use when debugging images, ports, volumes, or container logs.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Docker Operator skill

What this skill tells your AI

The instructions your AI receives, as published by navinspire-ia/navin in navin/skills/docker-operator/SKILL.md and read by ahel’s review.

Overview

Operate Docker with least surprise: inspect before restart, prefer Compose files in-repo, avoid destructive prune unless approved.

Common commands

docker ps -a
docker logs --tail 200 <container>
docker compose ps
docker compose logs -f --tail=100
docker image ls
docker inspect <id>

Workflow

  1. Confirm context (compose file path, service name).
  2. Inspect running state and recent logs.
  3. Reproduce the failure with the smallest command.
  4. Change config/code → rebuild only what is needed.
  5. Verify healthchecks / HTTP readiness.

Rules

  • docker system prune / volume deletes need human-approval.
  • Do not publish privileged containers unless required and approved.
  • Never embed secrets in image layers; use env/secrets.

Signals

GitHub stars
22
Forks
4
Last commit
Sep 2026

ahel review

  • S4info
    community integration, published by navinspire-ia, not docker

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Catalog kind
skill
Gateway key
docker-operator
Source
github.com/navinspire-ia/navin