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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.

  • Skills
  • AI research
  • 0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/skypilot-multi-cloud-orchestration && curl -fsSL https://doutorai.pt/data/lib/skills__skypilot-multi-cloud-orchestration.md -o .claude/skills/skypilot-multi-cloud-orchestration/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: skypilot-multi-cloud-orchestration
description: 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.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Infrastructure, Multi-Cloud, Orchestration, GPU, Cost Optimization, SkyPilot]
dependencies: [skypilot>=0.7.0]
---

# SkyPilot Multi-Cloud Orchestration

Comprehensive guide to running ML workloads across clouds with automatic cost optimization usi

- 🔒 Full content on the Pro plan (€7.99/month) -

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