Coreweave data handling

Skill ComeOnOliver/skillshub/skills/jeremylongshore/claude-code-plugins-plus-skills/coreweave-data-handling

Handle training data and model artifacts on CoreWeave persistent storage. Use when managing large datasets, configuring storage classes, or implementing data pipelines for GPU workloads. Trigger with phrases like "coreweave data", "coreweave storage", "coreweave pvc", "coreweave dataset management".From its SKILL.md

Install

npx -y skills add ComeOnOliver/skillshub --skill coreweave-data-handling

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SKILL.md

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CoreWeave Data Handling

Storage Classes

Class	Type	Use Case
`shared-hdd-ord1`	HDD	Training data archival
`shared-ssd-ord1`	SSD	Model weights, active datasets
`block-nvme-ord1`	NVMe	High-performance training

PVC Configuration

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: model-storage
spec:
  accessModes: ["ReadWriteMany"]
  resources:
    requests:
      storage: 500Gi
  storageClassName: shared-ssd-ord1

Data Loading Job

apiVersion: batch/v1
kind: Job
metadata:
  name: download-model
spec:
  template:
    spec:
      restartPolicy: Never
      containers:
        - name: downloader
          image: python:3.11-slim
          command: ["python3", "-c"]
          args:
            - |
              from huggingface_hub import snapshot_download
              snapshot_download("meta-llama/Llama-3.1-8B-Instruct", local_dir="/models/llama-8b")
          volumeMounts:
            - name: models
              mountPath: /models
          env:
            - name: HF_TOKEN
              valueFrom:
                secretKeyRef:
                  name: hf-token
                  key: token
      volumes:
        - name: models
          persistentVolumeClaim:
            claimName: model-storage

Resources

CoreWeave Storage

Next Steps

For RBAC configuration, see coreweave-enterprise-rbac.

What ships with it

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