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Bereitstellung und Betrieb · SKILL.md

deploy-and-operate

deploy-and-operate

Operate CubeStudio deployment workflows safely: Docker Compose development, Kubernetes installation sequencing, offline/private registry preparation, manifest inventory, overlays, and triage.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: deploy-and-operate description: "Operate CubeStudio deployment workflows safely: Docker Compose development, Kubernetes installation sequencing, offline/private registry preparation, manifest inventory, overlays, and triage." metadata: disco-role: operating disable-model-invocation: true license: NOASSERTION

deploy-and-operate

Use this sub-skill when the task is about installing, packaging, deploying, upgrading, inventorying, or triaging CubeStudio runtime infrastructure.

Read when

  • Preparing local Docker Compose development or debugging a local compose stack.
  • Planning a production Kubernetes installation, upgrade, or manifest review.
  • Moving CubeStudio to an offline network or private registry.
  • Locating where deployment overlays, kubeconfigs, image names, namespaces, PVCs, and secrets belong.
  • Building a read-only manifest/image inventory before an operator runs Docker or Kubernetes commands.

Start here

  1. For local development, read references/deployment-guide.md.

  2. For Kubernetes ordering, namespaces, CRDs, PVCs, and component roles, read references/kubernetes-operations.md.

  3. For offline or private-registry work, read references/offline-and-private-registry.md.

  4. For symptoms and triage paths, read references/troubleshooting.md.

  5. Before applying or rebuilding anything, run the bundled safe helper on the candidate checkout or manifest directory:

    python scripts/cube_studio_manifest_inventory.py --help
    python scripts/cube_studio_manifest_inventory.py /path/to/cube-studio-or-manifests
    

Safety contract

This sub-skill may recommend operator procedures, but do not run cluster- or host-mutating commands until the operator has reviewed the inventory, target cluster, credentials, registry, storage, and rollback plan. Treat CubeStudio's original install scripts as examples to inspect, not as generic one-shot installers.

Never run these blindly: start.sh, start-with-kubesphere.sh, uninstall.sh, init_node.sh, install_docker.sh, Rancher reset scripts, image pull/save/push scripts, Docker builds, image pulls, kubectl apply/delete/create/patch/label, or package install/build commands.

Route elsewhere

  • Backend configuration, FAB app lifecycle, auth, model/view registration, Celery internals, and frontend source customization: backend-and-configuration.
  • Notebook image catalog, online image builds, resource selectors, GPU resource strings, and project/resource management: compute-notebooks-and-images.
  • Pipeline DAGs, Argo workflow generation, job-template authoring, NNI/HPO templates: pipelines-and-job-templates.
  • Datasets, SQLLab, metadata, dimensions, ETL data workflows: data-metadata-and-sqllab.
  • Internal services, inference services, AIHub, chat/LLM gateways, service canary/shadow details: serving-aihub-and-llm.

Expected operating output

Return an operator-ready plan with:

  • selected path: local compose, Kubernetes, offline/private registry, or triage;
  • manifest and image inventory results;
  • files/overlays to edit and the order to stage them;
  • commands that remain read-only versus commands that require explicit operator approval;
  • expected observations and rollback/triage checkpoints;
  • sibling sub-skill routes for non-deployment work.
Gespeicherte Skills