beam

Transfer local coding sessions to remote GPU cloud instances.

16|1|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/xeophon/beam --skill beam-xeophon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: beam
Source: https://github.com/xeophon/beam/tree/main/beam
Command: npx skills add https://github.com/xeophon/beam --skill beam-xeophon

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables developers to move ongoing local coding sessions and their associated directories onto remote machines with GPU support. It simplifies transitioning active code workflows to scalable cloud environments.

Core Features & Use Cases

  • Session Handoff: Transfers live coding environments to remote pods with minimal disruption.
  • Automated Setup: Installs necessary CLI tools, tmux, and uv for remote development.
  • Use Case: A data scientist working locally can quickly transfer their session to a GPU-enabled cloud machine for larger experiments without losing progress.

Quick Start

Use the beam skill to hand off your current project session to a remote GPU machine by running UV with the appropriate parameters.

Frequently Asked Questions about beam

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

FAQPage Schema
How do I transfer a local coding session to a remote GPU machine?

Transferring an active coding session to a remote GPU machine involves moving your local project directories and environment state to a cloud instance. This Skill automates the setup of CLI tools, tmux, and uv to synchronize your workflow without losing progress.

What does session synchronization for remote development do?

Session synchronization for remote development maintains your active coding state when moving to a cloud environment. It automatically configures CLI tools and tmux so you can resume ongoing local workflows on a remote GPU-enabled machine with minimal disruption.

Can I use tmux and uv when migrating my coding environment to the cloud?

Yes, you can use tmux and uv when migrating your coding environment to the cloud. The session transfer process implements automatic setup of these CLI tools to ensure your remote development environment matches your local state for uninterrupted workflows.

When do I need to transfer my coding environment to a cloud instance with GPU support?

You need to transfer your coding environment to a cloud instance with GPU support when running larger experiments that require scalable cloud environments. This allows data scientists to move ongoing local work to remote machines for increased computational power without losing session progress.

Does session handoff to remote pods preserve my local directory structure?

Yes, session handoff to remote pods preserves your local directory structure by transferring both the active coding environment and its associated directories. This ensures seamless migration of your project state to a remote GPU machine for scalable experimentation.