prime-cli

Name: prime-cli
Availability: InStock
Author: benediktstroebl

Manage GPU compute resources and sandboxes via the Prime Intellect CLI.

Updated Mar 6, 2026

Search Tags:#docker #gpu #sandboxes #pods #rl-training #prime-cli

Ready to run

npx skills add https://github.com/benediktstroebl/skills --skill prime-cli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prime-cli
Source: https://github.com/benediktstroebl/skills/tree/main/skills/prime-cli
Command: npx skills add https://github.com/benediktstroebl/skills --skill prime-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prime CLI provides a single interface to manage GPU compute, pods, sandboxes, machine learning environments, and deployment workflows on the Prime Intellect platform, reducing context switching and setup time for developers.

Core Features & Use Cases

Authenticate and configure access to Prime resources (login, config, and environment settings) to streamline secure usage.
Orchestrate compute resources and environments: list GPUs, create pods, manage sandboxes, and provision Docker-based environments for RL training, evaluations, and model deployments.
Access a comprehensive suite of commands for accounts, secrets, teams, and deployments to support end-to-end workflows in collaborative projects.

Quick Start

Frequently Asked Questions about prime-cli

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

FAQPage Schema

How do I manage GPU compute resources and sandboxes for machine learning deployments?▼

You can manage GPU compute resources and sandboxes by using a CLI to provision Docker-based environments, create pods, and orchestrate deployments for RL training and evaluations. It provides a single interface to reduce context switching.

Can I provision Docker-based environments for RL training and model deployments?▼

Yes, you can provision Docker-based environments specifically for RL training, evaluations, and model deployments. The CLI orchestrates compute resources and manages sandboxes to support these machine learning workflows.

What is the best way to list available GPUs and create pods for collaborative projects?▼

The best way to list available GPUs and create pods is through a comprehensive CLI that supports authentication, configuration, and environment setup. It also manages accounts, secrets, and teams for collaborative projects.

Does Prime CLI support authentication and configuration management for secure GPU provisioning?▼

Yes, Prime CLI supports authentication and configuration management to streamline secure usage. You can login, configure environment settings, and manage access to GPU compute resources and sandboxes.

How do I set up my environment to start managing GPU pods and sandboxes?▼

To start managing GPU pods and sandboxes, login to the platform and configure your environment settings via the CLI. This establishes secure access to provision compute resources and Docker-based environments for your deployments.