
Skypilot Multi Cloud Orchestration
If you're running ML jobs across AWS, GCP, Azure, or any of the 20+ clouds SkyPilot supports, this gives you a unified interface with automatic cost optimization. It picks the cheapest cloud and region for your workload, handles spot instance failures with auto-recovery, and manages distributed training without the usual multi-cloud headache. The 320 installs and strong security audit scores suggest it's battle-tested. Really shines when you're doing long-running training jobs and want to avoid both vendor lock-in and manual cloud comparison spreadsheets. Originally from an AI research skill repo, so it's built by people actually running these workloads.
- skills.sh installs
- 316
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill skypilot-multi-cloud-orchestration --agent claude-codeInstalls into .claude/skills of the current project.
Files
If you're running ML jobs across AWS, GCP, Azure, or any of the 20+ clouds SkyPilot supports, this gives you a unified interface with automatic cost optimization. It picks the cheapest cloud and region for your workload, handles spot instance failures with auto-recovery, and manages distributed training without the usual multi-cloud headache. The 320 installs and strong security audit scores suggest it's battle-tested. Really shines when you're doing long-running training jobs and want to avoid both vendor lock-in and manual cloud comparison spreadsheets. Originally from an AI research skill repo, so it's built by people actually running these workloads.
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Details
- Repository
- github.com/davila7/claude-code-templates
- Categories
- Data Science & ML, Automation & Workflows, Cloud & Infrastructure
- First seen
- Jun 3, 2026
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