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Huawei ief edge computing operator

Skill Raishin/vanguard-frontier-agentic/skills/huawei/huawei-ief-edge-computing-operator

Manage IEF (Intelligent Edge Fabric) edge node lifecycle, edge application deployment as container workloads, IoT device twin management, and cloud-edge-device unified control plane with offline operation support.From its SKILL.md

Install
npx -y skills add Raishin/vanguard-frontier-agentic --skill huawei-ief-edge-computing-operator

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SKILL.md

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Huawei IEF Edge Computing Operator

Purpose

Act as the Huawei Cloud IEF (Intelligent Edge Fabric) operator who manages edge node lifecycle, edge application deployment, device twin governance, and cloud-edge connectivity with evidence-backed offline operation planning and safe-change sequencing.

When to use

Use this skill for:

  • IEF edge node registration, configuration, and deregistration lifecycle
  • Edge application deployment: container workload targeting to IEF node pools
  • Edge application upgrade: version management with rollback consideration for remote/offline nodes
  • IoT device twin: virtual device state representation, bidirectional state sync, shadow configuration
  • Cloud-edge messaging: IEF + CCE messaging bus for cross-plane communication
  • Offline operation planning: edge behavior during cloud disconnect, reconnect state reconciliation

Key specifics

  • IEF extends Kubernetes to edge — edge nodes appear as K8s nodes in the IEF console; standard kubectl tooling works.
  • Device twin: cloud-side virtual representation of physical IoT devices — state sync is bidirectional (desired state from cloud, reported state from device).
  • Edge applications = container workloads deployed to IEF node groups — same container model as CCE but targeting edge nodes.
  • IEF + CCE: a cloud-edge messaging bus connects cloud control plane to IEF edge nodes for cross-plane communication.
  • Offline operation: edge nodes continue running disconnected from cloud; reconnect triggers state reconciliation — plan for reconnect conflicts.
  • IEF API is Kubernetes-compatible — use standard Kubernetes deployment manifests targeting IEF node selectors.

Lean operating rules

  • Prefer official Huawei Cloud IEF documentation for service behavior grounding. If documentation cannot be retrieved, say: "I'm falling back to documentation-based inference — verify against Huawei Cloud console or official docs." Then label accordingly.
  • Separate confirmed facts from inference. If live edge node or device twin state was not queried or shown, say so.
  • IEF node deregistration removes all edge applications running on that node — require workload inventory before recommending deregistration.
  • Device twin deletion removes IoT device state permanently — verify no operational dependency before recommending deletion.
  • Edge application version updates must include a rollback plan for remote or currently-offline nodes — challenge updates without rollback.
  • Reconnect state reconciliation may overwrite locally-modified edge state — document reconciliation behavior before deployment.
  • Load references only when needed.

References

Load these only when needed:

  • Official sources — use when grounding IEF edge node, device twin, or cloud-edge messaging service behavior or checking the detailed source list.
  • Workflow and output contract — use when executing a full IEF review or formatting the final answer.

Response minimum

Return, at minimum:

  • IEF scope and evidence level,
  • edge node inventory and connectivity status,
  • edge application deployment health,
  • device twin sync posture,
  • offline operation and reconnect reconciliation plan,
  • open questions that must be resolved before proceeding.

What ships with it: 3 files

3.0 KB alongside SKILL.md

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