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inference-sh-cli

Execute 150+ AI apps in the cloud via a single CLI.

Updated Mar 24, 2026
Search Tags:#automation#cli#cloud#app-discovery#inference-sh#ai-apps
One-click install
npx skills add https://github.com/1thirteeng3/greenmoire --skill inference-sh-cli-1thirteeng3
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/1thirteeng3/greenmoire/tree/main/integrations/hermes-agent/skills/inference-sh/cli
Command: npx skills add https://github.com/1thirteeng3/greenmoire --skill inference-sh-cli-1thirteeng3

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

CLI-based access to 150+ AI apps in the cloud, unifying usage and reducing the overhead of juggling multiple provider APIs.

Core Features & Use Cases

  • Unified CLI control: Run image generation, video creation, LLM tasks, and search from a single interface.
  • Deterministic outputs & JSON payloads: Ensure machine-readable results for downstream automation.
  • Use Case: Streamline workflows that require rapid experimentation across many AI apps without manual API management.

Quick Start

Install the infsh CLI and run an app by its ID with a 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 run multiple AI apps from the command line without managing separate provider APIs?▼

You can run 150+ AI apps in the cloud using a unified CLI. This eliminates the overhead of juggling multiple provider APIs by handling image generation, video creation, LLM tasks, and search from a single command line interface.

Can I get deterministic machine-readable outputs for automation when using cloud AI apps?▼

Yes, deterministic outputs and JSON payloads are supported. Running cloud AI apps via the CLI ensures machine-readable JSON results, enabling seamless integration into downstream automation workflows without manual parsing.

What do I need to start executing AI apps in the cloud using a CLI?▼

To start executing AI apps in the cloud, you need to install the CLI, complete authentication, discover the target app ID, and handle JSON inputs. This setup allows you to quickly run tasks like image and video generation.

What is the best way to streamline rapid experimentation across many AI apps?▼

The best way to streamline rapid experimentation is using a unified CLI to access 150+ AI apps in the cloud. This approach allows quick switching between LLM tasks, search, and media generation without manual API management.

Does the CLI support discovering available AI apps for cloud execution?▼

Yes, app discovery is a core prerequisite supported by the CLI. You can identify and execute over 150 cloud AI apps by their specific app ID using a JSON input, simplifying access to various media and LLM tasks.

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