Coreweave Pack
Claude Code skill pack for CoreWeave (23 skills). Community-contributed; not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.
- Type
- Plugin
- Repository
- jeremylongshore/tons-of-skills-marketplace
- GitHub stars
- 2.8k
- License
- MIT
- Repo last updated
- Sep 27, 2026
- Version
- 1.11.0
- Author
- Jeremy Longshore
What Coreweave Pack is
Coreweave Pack is a plugin published in the jeremylongshore/tons-of-skills-marketplace repository on GitHub, which has about 2.8k stars. The repository describes itself as: “Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.”
A plugin is a package that bundles skills, slash commands, subagents, hooks, and MCP connectors so they install together. Plugins are plain files with a manifest at .claude-plugin/plugin.json, and they work in both Claude Code and Claude Cowork.
Installing Coreweave Pack adds everything it ships in one step. Connectors inside a plugin still need to be connected separately, and hooks and subagents only run in Cowork and Claude Code, not in regular chat.
How to install Coreweave Pack
Claude Code
- Add the repository as a plugin marketplace: claude plugin marketplace add jeremylongshore/tons-of-skills-marketplace
- Install the plugin: claude plugin install coreweave-pack@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json.
- Restart the session if the new skills or commands don't appear straight away.
Claude Cowork
- Open Customize → Plugins and choose Add marketplace.
- Enter jeremylongshore/tons-of-skills-marketplace (the owner/repo shorthand works for GitHub).
- Find Coreweave Pack in the list, click Install, then connect any connectors it needs from its Connectors tab.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from plugins/saas-packs/coreweave-pack/.claude-plugin/plugin.json, shared under the repository's MIT license. Read the full file on GitHub.
> Community-contributed. Not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.
22 production-grade Claude Code skills for GPU cloud computing with CoreWeave Kubernetes Service.
What Is CoreWeave?
CoreWeave is a specialized GPU cloud platform built for AI/ML workloads. CoreWeave Kubernetes Service (CKS) runs Kubernetes directly on bare-metal GPU nodes -- no hypervisor, no VMs. The platform provides:
- Bare-metal GPU nodes with A100, H100, L40, and GH200 GPUs
- KServe integration for serverless inference with scale-to-zero
- Multi-node training with NVLink and InfiniBand interconnect
- Shared storage (HDD, SSD, NVMe) via Kubernetes PVCs
- DCGM metrics for GPU utilization monitoring out of the box
Access is via standard kubectl with CoreWeave-issued kubeconfig. GPU scheduling uses node affinity with gpu.nvidia.com/class labels. Typical cost savings: 30-50% compared to hyperscaler GPU instances.
This skill pack provides real kubectl commands, YAML manifests, and Python patterns for every stage of CoreWeave deployment.
Installation
/plugin install coreweave-pack@claude-code-plugins-plusSkills Included
Getting Started (S01-S04)
Core Workflows (S05-S08)
Operations
Pro Skills
Flagship Skills
Quick Start
1. Install the Pack
/plugin install coreweave-pack@claude-code-plugins-plus2. Configure kubectl
Download your kubeconfig from cloud.coreweave.com and set it up:
export KUBECONFIG=~/.kube/coreweave
kubectl get nodes3. Deploy Your First GPU Workload
# Run nvidia-smi on an A100
kubectl run gpu-test --image=nvidia/cuda:12.2.0-base-ubuntu22.04 \
--restart=Never \
--overrides='{"spec":{"containers":[{"name":"gpu-test","image":"nvidia/cuda:12.2.0-base-ubuntu22.04","command":["nvidia-smi"],"resources":{"limits":{"nvidia.com/gpu":"1"}}}]}}' \
-- nvidia-smi
kubectl logs gpu-test
kubectl delete pod gpu-test4. Deploy an Inference Service
Follow coreweave-core-workflow-a to deploy a KServe InferenceService with autoscaling.
Key CoreWeave Links
- CoreWeave Documentation -- CKS and platform docs
- GPU Instance Types -- available GPUs
- CoreWeave Pricing -- per-GPU-hour pricing
- CKS Introduction -- Kubernetes service overview
- CoreWeave Examples -- sample YAML manifests
- CoreWeave Status -- platform status page
License
MIT
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Coreweave Pack?
Coreweave Pack is a plugin for Claude Code and Claude Cowork from the jeremylongshore/tons-of-skills-marketplace repository on GitHub. Claude Code skill pack for CoreWeave (23 skills). Community-contributed; not affiliated with, endorsed by, or sponsored by CoreWeave, Inc. CoreWeave is a registered trademark of CoreWeave, Inc.
How do I install Coreweave Pack in Claude Code?
Add the repository as a plugin marketplace: claude plugin marketplace add jeremylongshore/tons-of-skills-marketplace Install the plugin: claude plugin install coreweave-pack@<marketplace-name>, using the marketplace name from the repository's .claude-plugin/marketplace.json. Restart the session if the new skills or commands don't appear straight away.
Can I use Coreweave Pack in Claude Cowork?
Open Customize → Plugins and choose Add marketplace. Enter jeremylongshore/tons-of-skills-marketplace (the owner/repo shorthand works for GitHub). Find Coreweave Pack in the list, click Install, then connect any connectors it needs from its Connectors tab.
Is Coreweave Pack safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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