install-stack-flagos

Install and validate vLLM, FlagTree, FlagGems, FlagCX, and vllm-plugin-FL in a container.

18|12|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/flagos-ai/skills --skill install-stack-flagos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: install-stack-flagos
Source: https://github.com/flagos-ai/skills/tree/main/skills/install-stack-flagos
Command: npx skills add https://github.com/flagos-ai/skills --skill install-stack-flagos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Install and validate a five-package GPU software stack inside a container, handling mirror detection, dependency ordering, wheel selection, and per-package validation.

Core Features & Use Cases

  • Automates the end-to-end deployment of vLLM, FlagTree, FlagGems, FlagCX, and vllm-plugin-FL inside a GPU-enabled container.
  • Detects network mirrors, selects appropriate wheels, and enforces dependency order with per-package verification.
  • Use Case: DevOps teams provisioning GPU-backed AI workloads can reliably install and verify the entire stack in a reproducible container environment.

Quick Start

Run the skill to deploy and validate the 5-package GPU software stack inside a running container.

Frequently Asked Questions about install-stack-flagos

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

FAQPage Schema
How do I install vLLM and FlagGems inside a GPU container?

Install vLLM and FlagGems inside a GPU container by running an automated deployment skill that handles wheel selection, dependency ordering, and mirror detection for the five-package GPU software stack, followed by per-package validation.

What is the correct dependency ordering for installing vLLM, FlagTree, FlagGems, FlagCX, and vllm-plugin-FL?

The correct dependency ordering for installing vLLM, FlagTree, FlagGems, FlagCX, and vllm-plugin-FL is enforced automatically during the container deployment, ensuring prerequisites are satisfied before each package is installed and validated.

Can I deploy the GPU software stack in any container environment?

Yes, you can deploy the GPU software stack across diverse container environments and orchestration contexts, as the installation process detects network mirrors and selects appropriate wheels for the specific environment.

How do I validate a GPU container installation after deploying AI workloads?

Validate a GPU container installation by running the deployment skill, which performs per-package verification and environment checks, then generates a final health report detailing the installation status and package versions.

Does GPU stack installation handle network mirrors for wheel selection?

Yes, GPU stack installation handles network mirrors by detecting available mirrors during the deployment process and selecting the appropriate wheels to ensure reliable access across diverse container environments.