skypilot-multi-cloud-orchestration SKILL.md skillA
skypilot-multi-cloud-orchestration from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/skypilot-multi-cloud-orchestration@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
09-infrastructure/skypilot/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Nov 25, 2025
- Size
- 9,641 bytes
- Repository stars
- 13,718
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 **Key features:** - **Multi-cloud**: AWS, GCP, Azure, Kubernetes, Lambda, RunPod, 20+ providers - **Cost optimization**: Automatic cheapest cloud/region selection - **Spot instances**: 3-6x cost savings with automatic recovery - **Distributed training**: Multi-node jobs with gang scheduling - **Managed jobs**: Auto-recovery, checkpointing, fault tolerance - **Sky Serve**: Model serving with autoscaling **Use alternatives instead:** - **Modal**: For simpler serverless GPU with Python-native API - **RunPod**: For single-cloud persistent pods - **Kubernetes**: For existing K8s infrastructure - **Ray**: For pure Ray-based orchestration ## Quick start ### Installation ```bash …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/skypilot-multi-cloud-orchestration@sha256:de1be4556d8a8f79The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_dh2zxzwopzs3gmzz)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Nov 25, 2025.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9641 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dh2zxzwopzs3gmzz GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/skypilot-multi-cloud-orchestration GET https://markdownregistry.com/api/v1/blob/de1be4556d8a8f7929003ca4b672e5fbb755588b1e95068973896b63d3034965
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.