inference-sh-cli

Consolidate control of 150+ AI apps via a single CLI.

2|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/AlexiosBluffMara/mercury --skill inference-sh-cli-alexiosbluffmara
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/AlexiosBluffMara/mercury/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/AlexiosBluffMara/mercury --skill inference-sh-cli-alexiosbluffmara

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Centralizes control over 150+ AI apps by exposing them through a single CLI, reducing setup overhead and context switching.

Core Features & Use Cases

  • Unified CLI: Access 150+ AI apps through one command interface without managing multiple APIs.
  • Workflow Orchestration: Chain app runs, manage inputs, and collect outputs across tasks.
  • Use Case: Rapidly prototype, run image generation, data processing, and reporting in one session.

Quick Start

Install the inference-sh CLI, authenticate, and run a sample app with a simple prompt.

Frequently Asked Questions about inference-sh-cli

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

FAQPage Schema
How do I control multiple AI apps from a single command line interface?

Workflow orchestration lets you chain app runs and manage inputs via the CLI. You can rapidly prototype by running image generation, data processing, and reporting sequentially in one session.

How do I pass local files to AI apps through a command line interface?

Running an AI app via the CLI requires using the infsh app run command with JSON inputs. This allows you to programmatically trigger image generation, video, LLMs, and search across your projects.

Do I need to authenticate the inference-sh CLI before running AI workflows?

Using the inference-sh CLI is ideal for developers who need rapid access to multiple AI apps. It suits teams requiring workflow orchestration across projects without managing multiple APIs individually.

What is the best way to run 150+ AI apps without managing multiple APIs?

The best way to run 150+ AI apps without managing multiple APIs is to consolidate them behind a single CLI. This approach reduces setup overhead and context switching across different AI services.