inference-sh-cli

Run 150+ AI apps through a unified CLI with JSON inputs.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11 --skill inference-sh-cli-cloudliness
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11/tree/main/skills/inference-sh/cli
Command: npx skills add https://github.com/cloudliness/Hermes-Autonomous-AI-Agent-Dialed-In-For-Windows-11 --skill inference-sh-cli-cloudliness

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Centralizes access to a wide range of AI apps behind a single, unified CLI, reducing the overhead of managing multiple providers and APIs.

Core Features & Use Cases

  • Unified CLI to discover, run, and orchestrate over 150 AI apps without juggling provider-specific interfaces.
  • Supports cloud-based execution, JSON-based inputs/outputs, and local file uploads for flexible workflows.
  • Use Case: coordinate image generation, video creation, search, and automation tasks across providers from one tool.

Quick Start

Install the infsh CLI and run your first app with a sample JSON input.

Frequently Asked Questions about inference-sh-cli

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

FAQPage Schema
How do I automate multi-provider AI workflows from a single command line interface?

Multi-provider AI workflows are centralized through a single CLI that discovers and runs over 150 AI apps, managing structured JSON inputs and outputs to simplify cross-provider task orchestration.

Can I run image and video generation tasks across different cloud backends without managing multiple APIs?

Running image and video generation across cloud backends is possible without managing multiple APIs by orchestrating tasks through a single unified CLI.

What is the best way to discover available AI apps for cloud automation tasks?

Discovering available AI apps for cloud automation is done through a unified CLI's app discovery feature, which centralizes access to over 150 AI applications.

Does cross-provider task orchestration require specific prerequisites before running AI apps?

Cross-provider task orchestration requires prerequisite handling before execution, managed by the unified CLI to ensure structured inputs are correctly processed for cloud backends.

How do I handle structured inputs and local file uploads for AI app execution via CLI?

Handling structured inputs and local file uploads is achieved by passing JSON-based data through the CLI, which supports flexible cloud-based execution workflows across providers.

Are there limitations to orchestrating AI apps through a single command line interface?

Orchestrating AI apps through a single CLI requires tasks to conform to structured JSON inputs and outputs, ensuring correct execution across supported cloud backends.