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inference-sh-cli

Orchestrate 150+ AI apps via a unified CLI with JSON-formatted results.

Updated Jun 28, 2026
Search Tags:#automation#cli#image-generation#video-generation#app-discovery#inference-sh#ai-apps
One-click install
npx skills add https://github.com/jleechanorg/hermes-agent --skill inference-sh-cli-jleechanorg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/jleechanorg/hermes-agent/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/jleechanorg/hermes-agent --skill inference-sh-cli-jleechanorg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Run 150+ AI apps in the cloud with a single, GPU-free CLI, consolidating disparate provider interfaces into one consistent workflow.

Core Features & Use Cases

  • Unified access to image generation, video creation, LLMs, search, and automation via the terminal tool.
  • Automatic app discovery, batch runs, and JSON-formatted results with URLs for media.
  • Local file uploads and task tracking for long-running jobs across multiple apps.

Quick Start

Run your first app with the inference-sh CLI by listing a supported app and executing a sample run.

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 multiple AI apps from the terminal without managing separate provider APIs?▼

You can orchestrate 150+ AI apps in the cloud via a unified CLI, consolidating disparate provider interfaces into one consistent workflow with standardized input/output formats.

Can I automate image generation and video creation tasks from the command line?▼

Yes, the CLI provides unified terminal access to image generation, video creation, LLMs, and search, returning JSON-formatted results with URLs for the generated media.

What is the best way to track long-running AI jobs across different cloud apps?▼

The CLI supports task tracking for long-running jobs across multiple apps, enabling deterministic workflows with robust error handling and automatic app discovery.

Do I need a local GPU to execute cloud-based AI automation tasks?▼

No, you can run 150+ AI apps in the cloud with a single GPU-free CLI, allowing developers and operators to execute automation tasks across local or cloud environments.

Does the CLI support local file uploads for processing by cloud AI apps?▼

Yes, the CLI supports local file uploads and batch runs, allowing you to input data directly from your environment into the orchestrated cloud applications.

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