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skypilot-multi-cloud-orchestration

8.7

by davila7

168Favorites
271Upvotes
0Downvotes

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.

multi-cloud

8.7

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

Excellent skill that comprehensively covers SkyPilot multi-cloud orchestration. The description accurately captures the core value proposition (multi-cloud ML workloads with cost optimization). The skill provides extensive task knowledge including complete YAML configurations, CLI commands, distributed training setups, and real-world workflows. Structure is logical with clear sections progressing from basics to advanced topics, with appropriate use of reference files for troubleshooting and advanced patterns. The skill demonstrates high novelty as multi-cloud GPU orchestration with automatic cost optimization and spot recovery is significantly more complex than what a CLI agent could efficiently accomplish alone—it would require extensive research and trial-and-error across multiple cloud providers. Minor improvement opportunity: could add a quick decision matrix comparing SkyPilot with alternatives mentioned.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty9

GitHub Signals

18,073
1,635
132
71
Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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Publisher

davila7 avatar
davila7

Skill Author

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