agent-tools

Run AI applications on inference.sh using the belt CLI.

Updated Jul 11, 2026
One-click install
npx skills add https://github.com/gauravb4875-ux/SP2.0 --skill agent-tools-gauravb4875-ux
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-tools
Source: https://github.com/gauravb4875-ux/SP2.0/tree/main/skills/agent-tools
Command: npx skills add https://github.com/gauravb4875-ux/SP2.0 --skill agent-tools-gauravb4875-ux

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires belt, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the need to run AI applications with ease, covering a wide range of functionalities like image generation, video creation, leveraging large language models, web search, and Twitter automation.

Core Features & Use Cases

  • AI Application Execution: Provides a command-line interface to run various AI applications for tasks such as image and video generation, text processing, and more.
  • Cross-Platform Support: Compatible with a variety of AI models and services across different platforms.
  • Use Case: Use this Skill to automate tasks such as generating images from prompts, creating videos, or querying information through LLMs and web search tools.

Quick Start

Install the belt CLI and run: belt app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut"}' to generate an image.

Frequently Asked Questions about agent-tools

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

FAQPage Schema
How do I run AI image generation from the command line?

To run AI image generation from the command line, use the inference.sh CLI via belt to execute apps like flux-dev-lora. You pass your prompt through the belt app run command to generate images directly.

Can I automate video creation and large language model queries using a CLI?

Yes, you can automate video creation and large language model queries using a CLI. The inference.sh platform supports triggering these AI processes and managing tasks through command-line instructions.

Do I need to install the belt CLI to use inference.sh for AI tasks?

Yes, you need to install the belt CLI to use inference.sh for AI tasks. Belt acts as the required interface to communicate with the platform and execute commands for image, video, and text generation.

What AI applications can I execute using inference.sh?

Using inference.sh, you can execute AI applications for image generation, video creation, large language models, web search, 3D tasks, and Twitter automation. It provides cross-platform support for various models.

How do I trigger an AI process for Twitter automation and web search?

To trigger an AI process for Twitter automation and web search, utilize the inference.sh platform commands through the belt CLI. This allows you to manage and execute automated tasks directly from your terminal.

Are there limitations when running cross-platform AI models via inference.sh?

When running cross-platform AI models via inference.sh, limitations depend on the specific models and services supported by the platform. The CLI requires the belt dependency to interface correctly with the available AI applications.