Individual skill

coreweave-observability

Set up GPU monitoring and observability for CoreWeave workloads. Use when implementing GPU metrics dashboards, configuring alerts, or tracking inference latency and throughput. Trigger with phrases like "coreweave monitoring", "coreweave observability", "coreweave gpu metrics", "coreweave grafana".

plugins/saas-packs/coreweave-pack/skills/coreweave-observability/SKILL.md

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# CoreWeave Signal and alert validation

> **Community-contributed.** Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.

## Overview

Correlate GPU, workload, storage and latency signals without claiming universal thresholds.
Use Read to inspect the approved input files, Write the evidence report, and Edit only the proposed local artifact before review.
These procedures complement [CoreWeave’s official skills](https://github.com/coreweave/skills); they do not redistribute or replace that upstream distribution.

## Prerequisites

- The owner-approved organization, cluster context, namespace and resource names.
- A trusted kubeconfig from the approved secret location; no raw credentials in source, logs or terminal history.
- Installed kubectl compatible with the cluster, and authority for each proposed read or change.
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