Coreweave webhooks events

Skill ComeOnOliver/skillshub/skills/jeremylongshore/claude-code-plugins-plus-skills/coreweave-webhooks-events

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Install

npx -y skills add ComeOnOliver/skillshub --skill coreweave-webhooks-events

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What its author says it does

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Monitor CoreWeave cluster events and GPU workload status. Use when tracking pod lifecycle events, monitoring GPU utilization, or alerting on inference service health changes. Trigger with phrases like "coreweave events", "coreweave monitoring", "coreweave pod alerts", "coreweave gpu monitoring".

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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CoreWeave Webhooks & Events

Kubernetes Event Monitoring

# Watch GPU pod events
kubectl get events --watch --field-selector=reason=Scheduled,reason=Pulled,reason=Failed

# Monitor GPU utilization via exec
kubectl exec -it deployment/inference -- nvidia-smi --query-gpu=utilization.gpu,memory.used --format=csv -l 5

Prometheus GPU Metrics

# DCGM exporter for GPU metrics (pre-installed on CKS)
# Key metrics:
# DCGM_FI_DEV_GPU_UTIL - GPU utilization %
# DCGM_FI_DEV_FB_USED - GPU memory used
# DCGM_FI_DEV_POWER_USAGE - Power draw

Slack Alert Integration

import subprocess, json, requests

def check_inference_health(deployment: str, slack_url: str):
    result = subprocess.run(
        ["kubectl", "get", "deployment", deployment, "-o", "json"],
        capture_output=True, text=True,
    )
    deploy = json.loads(result.stdout)
    ready = deploy["status"].get("readyReplicas", 0)
    desired = deploy["spec"]["replicas"]

    if ready < desired:
        requests.post(slack_url, json={
            "text": f"CoreWeave: {deployment} has {ready}/{desired} replicas ready"
        })

Resources

CoreWeave Observability

Next Steps

For performance optimization, see coreweave-performance-tuning.