skills/docker-thermodynamics/SKILL.md
Cognitive lens: containers as thermodynamic/entropy systems — resource pressure, safe intervention boundaries.
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Docker containers are not black boxes — they are thermodynamic systems. Each container consumes CPU (energy), memory (state), disk (storage), and network (exchange). Think of container management as entropy management: every action either reduces chaos (diagnosis, restart, prune) or increases it (untracked modifications, accumulated artifacts, unmonitored services).
The goal is not to memorize Docker commands — it is to understand the thermodynamic state of the container fleet. Is entropy rising? Are resources bottlenecking? Is data at risk of irreversible loss?
Diagnose before acting:
docker ps — what is running, what is dead?docker stats --no-stream — who is consuming resources?docker system df — how much disk entropy has accumulated?Safe operations (proceed without ask):
docker compose config (validate, no mutation)docker compose ps (state inspection)docker logs --tail=N <service> (observation)docker compose restart <service> (reversible)docker compose up -d <service> (restore known state)Dangerous operations (888 HOLD required):
docker system prune -af --volumes (irreversible disk purge)docker rm -f <container> (data loss risk)docker volume rm <volume> (permanent data destruction)docker rmi <image> if image is actively useddocker system df to understand what will be lostThese are specific errors. Actively avoid them:
docker system prune -af as first response to any problem (panic pruning)Applies to:
/root/compose/docker-compose.ymlDoes NOT apply to:
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