This skill enables the agent to monitor GKE TPU workloads, nodes, and node pools using GKE system metrics. It helps diagnose if workload interruptions or performance issues are caused by underlying infrastructure.
Step 0: Mandatory Context
Independently gather required context (such as cluster details or node pool names) using available GKE and Cloud tools, or use the provided
{variable}
placeholders:
{project_id}
The GCP Project ID.
{cluster_name}
The GKE Cluster Name.
{location}
The GKE Cluster Location (region or zone).
{node_name}
(Optional) The name of the specific GKE node.
{node_pool_name}
(Optional) The name of the GKE node pool.
Diagnostic Steps
Step 1: Verify TPU Runtime Metrics Configuration [Low Risk] [Auto]
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Installs
1.0K
Repository
google/skills
GitHub Stars
19.4K
First Seen
14 days ago
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