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skypilot-multi-cloud-orchestration

7.6

by zechenzhangAGI

116Favorites
193Upvotes
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

7.6

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

Excellent skill for multi-cloud ML orchestration. The description clearly communicates when to use SkyPilot vs alternatives. The SKILL.md provides comprehensive task knowledge with concrete YAML examples, CLI commands, and complete workflows for GPU configuration, distributed training, managed jobs, and model serving. Structure is clean with logical sections and proper use of reference files for advanced topics. High novelty - orchestrating multi-cloud GPU workloads with spot recovery and cost optimization would require significant token usage and complexity for a CLI agent alone. Minor improvement areas: could add more explicit cost comparison examples and a quick reference card for the most common patterns.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty9

GitHub Signals

891
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19
2
Last commit 0 days ago

Publisher

zechenzhangAGI

zechenzhangAGI

Skill Author

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zechenzhangAGI

Skill Author

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