inference-sh-cli

Automate AI app workflows across providers via the inference-sh CLI.

1|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/Monjyu1101/AiDiy2026 --skill inference-sh-cli-monjyu1101
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/Monjyu1101/AiDiy2026/tree/main/backend_hermes/optional-skills/devops/cli
Command: npx skills add https://github.com/Monjyu1101/AiDiy2026 --skill inference-sh-cli-monjyu1101

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manages and orchestrates 150+ AI apps from a single CLI, eliminating the need to juggle multiple providers and SDKs. This skill provides a unified interface to discover, run, and automate AI tasks across image generation, video creation, LLMs, search, 3D, and avatar workflows.

Core Features & Use Cases

  • Unified CLI for discovering, authenticating, and running AI apps from inference.sh
  • Supports image generation, video creation, LLM tasks, search, and avatar workflows with consistent outputs
  • Use cases include rapid prototyping, automation pipelines, and reproducible experiments

Quick Start

Install the inference-sh-cli and start executing apps with a simple 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 different providers through a single CLI?

The inference-sh CLI lets you run 150+ AI apps from a single command line, unifying access to diverse providers without needing separate SDKs. It covers image generation, video creation, LLMs, search, 3D, and avatar workflows.

Do I need to install and authenticate any specific tools before automating AI workflows?

Yes, you need to install and authenticate the infsh CLI before automating AI workflows. Once authenticated, the tool emits JSON output suitable for integrating tasks like image generation and LLM queries into automation pipelines.

What is the best way to integrate AI image generation and video creation into reproducible automation pipelines?

The best way to build reproducible automation pipelines is using a unified CLI that emits consistent JSON output. The inference-sh CLI supports image generation, video creation, and LLM tasks, ensuring stable outputs across different providers.

Can I use a terminal CLI for rapid prototyping across LLMs, 3D, and avatar workflows?

Yes, you can use the inference-sh terminal CLI for rapid prototyping across LLMs, 3D, and avatar workflows. It supports a wide catalog of AI applications with a consistent command structure and JSON output format.

Does the inference-sh CLI support search and avatar workflows with consistent outputs?

Yes, the inference-sh CLI supports search and avatar workflows alongside image generation, video creation, and LLM tasks. It ensures consistent outputs across all supported AI applications for seamless automation.