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inference-sh-cli

Run cloud-based AI apps via unified CLI for generating and processing outputs.

Updated Jun 25, 2026
Search Tags:#automation#cli#image generation#llm#video generation#inference.sh#ai apps
One-click install
npx skills add https://github.com/davpatel605-beep/hermusagent --skill inference-sh-cli-davpatel605-beep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/davpatel605-beep/hermusagent/tree/main/backend/vendor/hermes/optional-skills/devops/cli
Command: npx skills add https://github.com/davpatel605-beep/hermusagent --skill inference-sh-cli-davpatel605-beep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies access to cloud-based AI applications by providing a unified CLI workflow for generating media, running models, and using AI services without managing separate provider APIs.

Core Features & Use Cases

  • AI App Discovery and Execution: Search the inference.sh catalog and run image, video, audio, search, and LLM applications through the infsh CLI.
  • Media Generation Workflows: Generate images, videos, avatars, and other AI outputs while handling structured inputs and returned media URLs.
  • Use Case: A creator can use this Skill to find an available video generation app, submit a prompt, and retrieve the generated media result without configuring individual AI providers.

Quick Start

Use the inference-sh-cli skill to generate an image of a futuristic city using an available AI app.

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 apps from a unified CLI without managing separate provider APIs?▼

Run AI apps from a unified CLI by using the inference.sh CLI to access cloud-based applications, eliminating the need to manage separate provider APIs for generating media and running models.

Can I generate images and videos using a single CLI workflow?▼

Yes, you can generate images and videos using a single CLI workflow. The inference.sh CLI supports media generation workflows for images, videos, avatars, and other AI outputs by handling structured inputs and parsing returned media URLs.

What do I need to set up before using the inference.sh CLI for AI app discovery?▼

Before using the inference.sh CLI, you need to complete authentication setup and install the CLI. Once configured, you can search the inference.sh catalog for available image, video, audio, search, and LLM applications.

Does this CLI approach work with LLM usage and audio synthesis tasks?▼

Yes, the CLI approach works with LLM usage and audio synthesis tasks. The inference.sh CLI supports workflows involving LLM usage, audio synthesis, AI search, and automated media tasks through structured JSON inputs.

What is the best way to retrieve generated media results from cloud AI applications?▼

The best way to retrieve generated media results is by using the inference.sh CLI to submit prompts and parse the returned media URLs. This ensures reliable execution and structured output handling for your AI-generated media.

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