skypilot-multi-cloud-orchestration
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.
npx skills add OpenRaiser/NanoResearch --skill skypilot --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# SkyPilot Multi-Cloud Orchestration Comprehensive guide to running ML workloads across clouds with automatic cost optimization using SkyPilot. ## When to use SkyPilot **Use SkyPilot when:** - Running ML workloads across multiple clouds (AWS, GCP, Azure, etc.) - Need cost optimization with automatic cloud/region selection - Running long jobs on spot instances with auto-recovery - Managing distributed multi-node training - Want unified interface for 20+ cloud providers - Need to avoid vendor lock-in **Key features:** - **Multi-cloud**: AWS, GCP, Azure, Kubernetes, Lambda, RunPod, 20+ providers - **Cost optimization**: Automatic cheapest cloud/region selection - **Spot instances**: 3-6x cost savings with automatic recovery - **Distributed training**: Multi-node jobs with gang scheduling - **Managed jobs**: Auto-recovery, checkpointing, fault tolerance - **Sky Serve**: Model serving with autoscaling **Use alternatives instead:** - **Modal**: For simpler serverless GPU with Python-native API - **RunPod**: For single-cloud persistent pods - **Kubernetes**: For existing K8s infrastructure - **Ray**: For pure Ray-based orchestration ## Quick start ### Installation ```bash pip install "sky
- When to use SkyPilot
- Quick start
- Installation
- Hello World
- Core concepts
- Task YAML structure
- Key commands
- GPU configuration
- Available accelerators
- GPU fallbacks
- Spot instances
- Cluster management
- Launch and execute
- Autostop
pip install "skypilot[aws,gcp,azure,kubernetes]" Verify cloud credentials sky check sky launch -c hello hello.yaml SSH to cluster ssh hello Terminate sky down hello Launch new cluster sky launch -c mycluster task.yaml
What does the skypilot-multi-cloud-orchestration skill do?
Multi-cloud orchestration for ML workloads with automatic cost optimization. Use when you need to run training or batch jobs across multiple clouds, leverage spot instances with auto-recovery, or optimize GPU costs across providers.
How do I install it?
Run `npx skills add OpenRaiser/NanoResearch --skill skypilot --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From OpenRaiser/NanoResearch, a repository with 1,480 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.