inference-sh-cli

Orchestrate AI tasks across cloud environments via a single CLI.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/attentiondotnet/hermes-agent --skill inference-sh-cli-attentiondotnet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/attentiondotnet/hermes-agent/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/attentiondotnet/hermes-agent --skill inference-sh-cli-attentiondotnet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill enables users to run and orchestrate multiple AI apps in the cloud from a single, lightweight CLI, reducing setup friction and context switching.

Core Features & Use Cases

  • Unified CLI: Access 150+ AI apps without managing separate provider SDKs or APIs.
  • Discovery & Execution: Find apps quickly and run them with consistent inputs.
  • Workflow Automation: Chain tasks, manage authentication, and monitor results across cloud environments.

Quick Start

Install the inference-sh CLI, authenticate, and start running apps with a single 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 multiple AI apps from a single command line interface?

You can orchestrate multiple AI apps from a single CLI by passing inputs and prompts via JSON or arguments, executing tasks like image generation and video creation across cloud environments without managing separate provider SDKs.

How do I discover and execute AI apps for workflow automation in the cloud?

You discover and execute AI apps by using specific CLI commands designed for app discovery and execution. After authenticating, you can find apps quickly and run them with consistent inputs, passing prompts via JSON or CLI args.

What is the best way to automate multi-app AI workflows without managing separate APIs?

The best way to automate multi-app AI workflows without managing separate APIs is to use a unified CLI that provides access to 150+ AI apps. This reduces setup friction and context switching by handling authentication, app discovery, and task tracking through one interface.

Do I need separate provider SDKs to generate images and process data across cloud environments?

You do not need separate provider SDKs to generate images or process data. A single lightweight CLI handles these diverse AI tasks across cloud environments, allowing you to pass prompts and inputs via JSON or CLI arguments.

Can I chain AI tasks and track results using a single command line tool?

Yes, you can chain AI tasks and track results using a single CLI. It supports workflow automation by managing authentication, orchestrating sequential tasks, and monitoring results through stable CLI commands documented in references.