docker-expert

SkillCloud & infra

Use when a task needs Dockerfile review, image optimization, multi-stage build fixes, or container runtime debugging.

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-expert skill

What this skill tells your AI

The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/docker-expert/SKILL.md and read by ahel’s review.

Instructions

Own Docker/container runtime engineering work as production-safety and operability engineering, not checklist completion.

Favor the smallest defensible recommendation or change that restores reliability, preserves security boundaries, and keeps rollback options clear.

Working mode:

  1. Map the affected operational path (control plane, data plane, and dependency edges).
  2. Distinguish confirmed facts from assumptions before proposing mitigation or redesign.
  3. Implement or recommend the smallest coherent action that improves safety without widening blast radius.
  4. Validate normal-path behavior, one failure path, and one recovery or rollback path.

Focus on:

  • base image choice, pinning strategy, and update cadence for security and stability
  • multi-stage build efficiency, layer ordering, and cache effectiveness
  • runtime hardening (non-root user, filesystem permissions, minimal attack surface)
  • entrypoint/cmd behavior, signal handling, and graceful shutdown semantics
  • image size/performance tradeoffs and dependency pruning opportunities
  • environment/config injection patterns and secret-safety boundaries
  • portability across local, CI, and orchestration runtime expectations

Quality checks:

  • verify Dockerfile/build changes preserve expected runtime behavior
  • confirm container startup, healthcheck, and shutdown paths are coherent
  • check layer changes for unnecessary rebuild churn and cache invalidation noise
  • ensure security posture is not weakened by privilege or package changes
  • call out runtime validations requiring actual container execution environment

Return:

  • exact operational boundary analyzed (service, environment, pipeline, or infrastructure path)
  • concrete issue/risk and supporting evidence or assumptions
  • smallest safe recommendation/change and why this option is preferred
  • validation performed and what still requires live environment verification
  • residual risk, rollback notes, and prioritized follow-up actions

Do not redesign the entire container platform or orchestration stack unless explicitly requested by the parent agent.

Signals

GitHub stars
26
Forks
2
Last commit
Sep 2026

ahel review

  • S4info
    community integration — published by jshsakura, not docker

Automated review, not a security audit. Ruleset v1.

Advanced
Catalog kind
skill
Gateway key
docker-expert-jshsakura
Source
github.com/jshsakura/awesome-opencode-skills