SkyPilot Multi-Cloud Orchestration

SkyPilot Multi-Cloud Orchestration is a DevOps skill for Claude Code, published by OpenRaiser in NanoResearch.

1.4K stars95 forkson OpenRaiser/NanoResearchAdded 2026/08/19Repository updated 2026/05/26

agent-skillsagentsaiai-agentsai-scientistartificial-intelligenceautonomous-agentsautonomous-researchautoresearchclaude-codeclaude-skillsnanobotopenclaw

Install in seconds

Install SkyPilot Multi-Cloud Orchestration

Copy SkyPilot Multi-Cloud Orchestration into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/skypilot ~/.claude/skills/skypilot

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/OpenRaiser/NanoResearch.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/vendor-ai-research/skypilot/SKILL.md in OpenRaiser/NanoResearch
Installs to: ~/.claude/skills/skypilot
Collection: One of 16 skills cataloged from this repository
Category: DevOps — 798 skills

What SkyPilot Multi-Cloud Orchestration does

SkyPilot Multi-Cloud Orchestration manages ML training and batch jobs across multiple clouds with automatic cost optimization, spot instance recovery, and distributed multi-node support. Use it when you need a unified interface for AWS, GCP, Azure, Kubernetes, and 20+ providers without vendor lock-in.

SkyPilot Multi-Cloud Orchestration is cataloged under DevOps on DirSkills. SkyPilot Multi-Cloud Orchestration comes from a repository tagged agent-skills, agents, ai, ai-agents and ai-scientist.

Documentation

README

Excerpt

SkyPilot Multi-Cloud Orchestration

Comprehensive guide to running ML workloads across clouds with automatic cost optimization using SkyPilot.

When to use SkyPilot

Use SkyPilot when:

Running ML workloads across multiple clouds (AWS, GCP, Azure, etc.)
Need cost optimization with automatic cloud/region selection
Running long jobs on spot instances with auto-recovery
Managing distributed multi-node training
Want unified interface for 20+ cloud providers
Need to avoid vendor lock-in

This is the opening of the README. Read the full README on GitHub.

Commands SkyPilot Multi-Cloud Orchestration provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/checkpoints
/health

Frequently asked about SkyPilot Multi-Cloud Orchestration

What else does OpenRaiser publish alongside SkyPilot Multi-Cloud Orchestration?
SkyPilot Multi-Cloud Orchestration is one of 16 skills that DirSkills catalogs from OpenRaiser/NanoResearch, the repository it ships in. Its siblings there include Academic Plotting, Autoresearch and Creative Thinking for Research. Each one is a separate skill with its own page in this directory, installs the same way SkyPilot Multi-Cloud Orchestration does, and is maintained by OpenRaiser in that same repository. The rest of the collection is listed on the OpenRaiser/NanoResearch page.
How does SkyPilot Multi-Cloud Orchestration compare to other DevOps skills?
SkyPilot Multi-Cloud Orchestration ranks #366 by stars among the 798 DevOps skills in this catalog. The most-starred ones next to it are Backend Patterns, API Connector Builder and Migration. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of SkyPilot Multi-Cloud Orchestration against them. Open each page to compare what they document and how they install.