Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
skypilot-multi-cloud-orchestration
skypilot-multi-cloud-orchestration is an open-source devops skill for Claude Code and compatible agents, published by Orchestra-Research. Its author describes it as: “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 ac…”. The project has 12k stars on GitHub and is available under the MIT license. Add it to your setup with `/plugin marketplace add Orchestra-Research/AI-Research-SKILLs`.
What skypilot-multi-cloud-orchestration does
Comprehensive guide to running ML workloads across clouds with automatic cost optimization using SkyPilot.
Installation
Add skypilot-multi-cloud-orchestration to your agent with:
/plugin marketplace add Orchestra-Research/AI-Research-SKILLsAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for skypilot-multi-cloud-orchestration is organised into these sections:
- When to use SkyPilot
- Quick start
- Installation
- Hello World
- Core concepts
- Task YAML structure
- Key commands
- GPU configuration
- Available accelerators
- GPU fallbacks
- Spot instances
- Cluster management
When to use it
Reach for skypilot-multi-cloud-orchestration when you want devops help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in Orchestra-Research/AI-Research-SKILLs, an established project with 11,807 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does skypilot-multi-cloud-orchestration do?
- 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.
- How do I install skypilot-multi-cloud-orchestration?
- Run /plugin marketplace add Orchestra-Research/AI-Research-SKILLs in your agent, then reload your skills. Review the source at https://github.com/Orchestra-Research/AI-Research-SKILLs before installing.
- Is skypilot-multi-cloud-orchestration free to use?
- Yes. skypilot-multi-cloud-orchestration is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does skypilot-multi-cloud-orchestration come from?
- skypilot-multi-cloud-orchestration ships inside Orchestra-Research/AI-Research-SKILLs, a repository that contains 41 catalogued skills in total. The repository's 11,807 GitHub stars apply to that whole collection, not to this skill on its own.
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