Skillshub coreweave-data-handling
install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/jeremylongshore/claude-code-plugins-plus-skills/coreweave-data-handling" ~/.claude/skills/comeonoliver-skillshub-coreweave-data-handling && rm -rf "$T"
manifest:
skills/jeremylongshore/claude-code-plugins-plus-skills/coreweave-data-handling/SKILL.mdsource content
CoreWeave Data Handling
Storage Classes
| Class | Type | Use Case |
|---|---|---|
| HDD | Training data archival |
| SSD | Model weights, active datasets |
| 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
Next Steps
For RBAC configuration, see
coreweave-enterprise-rbac.