inference-sh-cli

Execute AI image, video, and language models from a unified command-line interface.

Updated May 4, 2026
One-click install
npx skills add https://github.com/InverterNetwork/hermes-agent --skill inference-sh-cli-inverternetwork
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/InverterNetwork/hermes-agent/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/InverterNetwork/hermes-agent --skill inference-sh-cli-inverternetwork

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the need for expensive local hardware or complex API management by providing a unified interface to run over 150 AI applications, including image, video, and LLM models, directly from your terminal.

Core Features & Use Cases

  • Unified AI Execution: Access a vast library of AI models (FLUX, Veo, Claude, etc.) through a single, consistent command-line interface.
  • Media Generation: Easily generate high-quality images, videos, and avatars using cloud-based compute.
  • Use Case: A user needs to generate a series of marketing images and a short video clip; instead of configuring multiple provider SDKs, they use this skill to search for the appropriate apps and execute them with simple JSON inputs.

Quick Start

Use the inference-sh-cli skill to search for and run the latest FLUX image generation model with your specific prompt.

Frequently Asked Questions about inference-sh-cli

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

FAQPage Schema
How do I run AI image and video generation models from the command line without a local GPU?

You can execute AI image and video generation models from the command line without a local GPU by using a unified CLI to route tasks to cloud-based compute. This interface manages model discovery and task execution remotely, returning generated media directly to your terminal without local GPU hardware requirements.

Can I automate AI workflows across multiple model providers using a single CLI?

Yes, you can automate AI workflows across multiple model providers using a single CLI. It provides a consistent command-line interface for executing diverse AI applications, standardizing input and output handling for generative media tasks across various cloud-based compute providers.

Do I need to install specific provider SDKs to use models like FLUX or Claude in my terminal?

No, you do not need to install specific provider SDKs to use models like FLUX or Claude in your terminal. The unified command-line interface abstracts away complex API management, allowing you to search for and execute over 150 AI applications directly without provider-specific configurations.

What is the best way to generate marketing images and short video clips via terminal commands?

The best way to generate marketing images and short video clips via terminal commands is using a unified AI execution CLI. You can search for appropriate generative media applications and execute them with simple JSON inputs to produce high-quality images and videos using remote cloud compute resources.

Are there limitations when using a unified CLI for scalable AI workflow automation?

Limitations when using a unified CLI for scalable AI workflow automation depend on the standardized input and output handling capabilities of the interface. While it eliminates local hardware constraints, task execution and result retrieval are bound by the supported JSON input formats and cloud compute availability of the integrated AI providers.