deploy-linux-gpu

Use this skill when deploying, installing, launching, or serving mesh-llm on a remote Linux GPU node (rented GPUs like Vast.ai or RunPod, or a self-managed CUDA server), including installing the CUDA build, choosing a model, keeping it alive under a supervisor, and verifying it serves.

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Repository: Mesh-LLM/mesh-llm
Last source activity: November 11, 2026 at 16:11
Detected SKILL.md language: English
Stars: 4,080
Forks: 513

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Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/deploy-linux-gpu.

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npx skills add https://github.com/Mesh-LLM/mesh-llm --skill deploy-linux-gpu

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SKILL.md

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name	deploy-linux-gpu
description	Use this skill when deploying, installing, launching, or serving mesh-llm on a remote Linux GPU node (rented GPUs like Vast.ai or RunPod, or a self-managed CUDA server), including installing the CUDA build, choosing a model, keeping it alive under a supervisor, and verifying it serves.

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deploy-macos

Use this skill when deploying, installing, launching, or serving mesh-llm on a macOS machine (local or remote over SSH), including installing a release, shipping a dev build bundle, codesign/quarantine fixes, choosing a model, and verifying it serves.

2026-11-11

deploy-windows

Use this skill when installing, deploying, launching, serving, or troubleshooting mesh-llm on a Windows machine — PowerShell install via install.ps1, flavor selection (CUDA/ROCm/Vulkan/CPU), source builds, the contrib helper scripts, and verifying it serves.

2026-11-11

manage-ci

Use this skill as the mandatory starting point whenever inspecting, running, debugging, defining, editing, reviewing, or documenting MeshLLM CI/CD. It governs GitHub Actions workflows and local actions, triggers and routing, runners, caches, artifacts, permissions, releases, deployments, and CI infrastructure.

2026-11-10

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deploy-linux-gpu

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Install with an AI assistant

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