skypilot-workflows

Name: skypilot-workflows
Availability: InStock
Author: Nebius

Manage SkyPilot cloud workflow lifecycles on Nebius infrastructure.

17|8|Updated Apr 7, 2026

Search Tags:#kubernetes #orchestration #cloud #workflows #skypilot #nebius

Ready to run

npx skills add https://github.com/nebius/nebius-physical-ai --skill skypilot-workflows

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skypilot-workflows
Source: https://github.com/nebius/nebius-physical-ai/tree/main/skills/tools/skypilot-workflows
Command: npx skills add https://github.com/nebius/nebius-physical-ai --skill skypilot-workflows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the complexity of managing distributed cloud workloads on Nebius by providing a standardized interface for authoring, running, and debugging SkyPilot-based pipelines.

Core Features & Use Cases

Workflow Orchestration: Provides a unified command surface for launching and monitoring SkyPilot jobs on Kubernetes or VM controllers.
Environment Management: Automates the bootstrapping of isolated virtual environments to ensure consistent execution of workflow runners.
Use Case: A researcher needs to run a large-scale Isaac Lab reinforcement learning training job; this skill provides the necessary patterns to submit the workflow, manage secrets, and handle controller cleanup safely.

Quick Start

Use the skypilot-workflows skill to bootstrap the environment and submit the bdd100k pipeline for execution.

Frequently Asked Questions about skypilot-workflows

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I submit and monitor distributed SkyPilot workflows on Kubernetes?▼

To submit and monitor SkyPilot workflows on Kubernetes, use a unified command interface that handles job lifecycle management across VM and Kubernetes controllers. This approach ensures consistent execution and tracking of distributed tasks throughout the infrastructure.

How do I manage secrets and environment isolation for deterministic cloud job execution?▼

Secret management and environment isolation for deterministic cloud job execution are handled by bootstrapping isolated virtual environments and securely injecting credentials. This pattern ensures consistent workflow runner execution without exposing sensitive data.

Can I use SkyPilot to run large-scale Isaac Lab reinforcement learning training jobs?▼

Yes, you can use SkyPilot to run large-scale Isaac Lab reinforcement learning jobs. The orchestration patterns provide the necessary steps to submit the workflow, manage secrets, and handle controller cleanup safely for distributed training tasks.

What is the best way to debug distributed training tasks across cloud infrastructure?▼

The best way to debug distributed training tasks across cloud infrastructure is to use an orchestration interface that standardizes the authoring and execution of SkyPilot pipelines. This allows you to monitor and troubleshoot workloads running on Nebius.

Why do I need to bootstrap an isolated virtual environment before running a workflow runner?▼

Bootstrapping an isolated virtual environment before running a workflow runner is required to ensure consistent and deterministic job execution. Environment management automates this setup to prevent dependency conflicts during distributed training or simulation tasks.

Does SkyPilot orchestration support both Kubernetes and VM controllers for cloud workloads?▼

Yes, SkyPilot orchestration supports both Kubernetes and VM controllers for cloud workloads. It provides a unified command surface to launch and monitor distributed jobs across the available infrastructure within the Nebius Physical AI ecosystem.