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.