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inference-sh-cli

Execute over 150 cloud-based AI applications via a unified command-line interface.

Updated Jul 13, 2026
Search Tags:#automation#cli#ai#image-generation#generative-ai#inference#video-generation
One-click install
npx skills add https://github.com/zeronx798/demo-hermes-agent --skill inference-sh-cli-zeronx798
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/zeronx798/demo-hermes-agent/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/zeronx798/demo-hermes-agent --skill inference-sh-cli-zeronx798

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the fragmentation of AI tool usage by providing a unified, terminal-based interface to access over 150 AI applications, including image generation, video creation, and advanced LLMs, without needing to manage individual provider APIs or local GPU resources.

Core Features & Use Cases

  • Unified AI Access: Run diverse models like FLUX, Veo, and Gemini through a single command-line interface.
  • Automated Media Generation: Easily generate images, videos, and avatars by piping prompts directly into the CLI.
  • Research & Search: Perform AI-powered web research using integrated tools like Tavily and Exa.

Quick Start

Use the inference-sh-cli skill to search for and run a video generation app by providing a prompt to the infsh app run command.

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 generative AI models like FLUX or Veo from the command line?▼

You can run generative AI models like FLUX or Veo from the command line by using a unified CLI interface to execute cloud-based applications, eliminating the need to manage individual provider APIs or local GPU resources.

Can I generate images and videos via terminal without local GPU infrastructure?▼

Yes, you can generate images and videos via terminal without local GPU infrastructure by executing over 150 cloud-based AI applications through a unified command-line interface that handles the processing remotely.

What is the best way to automate AI workflows across multiple providers?▼

The best way to automate AI workflows across multiple providers is using a unified command-line interface that facilitates discovery, execution, and task management while supporting structured JSON output and local file system integration.

Do I need to manage individual provider APIs to use cloud-based LLMs?▼

No, you do not need to manage individual provider APIs to use cloud-based LLMs, as this command-line interface provides unified access to diverse models like Gemini without requiring direct API management.

Does CLI AI generation support structured JSON output and task tracking?▼

Yes, CLI AI generation supports structured JSON output and task tracking, allowing users to manage automated media generation workflows and monitor execution states across various AI providers.

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