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.
Install
npx skills add davila7/claude-code-templates@skypilot-multi-cloud-orchestrationRuns in your terminal. Adds the skill globally for Claude Code, Cursor, Codex and others; add -g -y to skip prompts.
What it does
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…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
View source on GitHubBefore you install
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
Categories
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