Agent skill

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".

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Install this agent skill to your Project

npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/coreweave-pack/skills/coreweave-data-handling

SKILL.md

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

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

Data Loading Job

yaml
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

Next Steps

For RBAC configuration, see coreweave-enterprise-rbac.

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