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xkl2013
xkl2013COMMUNITY
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cli

Manage LobeHub agents, models, and providers via command-line operations.

Updated Jul 5, 2026
Search Tags:#cli#agent management#model management#lobehub#ai management
One-click install
npx skills add https://github.com/xkl2013/lobe --skill cli-xkl2013
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cli
Source: https://github.com/xkl2013/lobe/tree/main/.agents/skills/cli
Command: npx skills add https://github.com/xkl2013/lobe --skill cli-xkl2013

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires commander, @trpc/client, @lobechat/device-gateway-client, @lobechat/local-file-shell, picocolors, ws, diff, fast-glob, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The LobeHub CLI provides a streamlined interface for managing and interacting with LobeHub services, eliminating the need for a web-based interface and offering powerful command-line capabilities.

Core Features & Use Cases

  • Command-Line Operations: Execute a wide array of commands to manage agents, models, providers, and more.
  • Autonomous Workflows: Automate repetitive tasks such as agent management, model updates, and provider configurations.
  • Integration with Local Development: Seamless integration with local development environments for testing and debugging.

Quick Start

Use the 'lh agent list' command to retrieve a list of all available agents in your LobeHub instance.

Frequently Asked Questions about cli

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

FAQPage Schema
How do I manage LobeHub AI agents and models via command line?▼

You can manage LobeHub AI agents and models via command line using the LobeHub CLI. It provides a streamlined interface to execute commands for agent management, model updates, and provider configurations without needing a web interface.

Do I need Node.js and Bun to run LobeHub CLI commands?▼

Yes, you need Node.js and Bun to run LobeHub CLI commands. The CLI requires both runtime environments to handle its various dependencies and execute tasks for local development integration.

What is the best way to automate repetitive AI management tasks in LobeHub?▼

The best way to automate repetitive AI management tasks in LobeHub is using the CLI to create autonomous workflows. It automates agent management, model updates, and provider configurations directly from your terminal.

Can I use the CLI to integrate LobeHub services with my local development environment?▼

Yes, you can use the CLI to integrate LobeHub services with your local development environment. It offers seamless integration for testing and debugging agents, models, and providers locally.

How do I list all available agents in my LobeHub instance?▼

To list all available agents in your LobeHub instance, execute the 'lh agent list' command in your terminal. This retrieves a comprehensive list of all agents managed by your LobeHub services.

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