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inference-sh-cli

Orchestrate 150+ AI apps via the inference.sh CLI with JSON output.

Updated Aug 27, 2026
Search Tags:#automation#cli#workflows#inference.sh#ai-apps#infsh
One-click install
npx skills add https://github.com/zulumonkeymetallic/bob --skill inference-sh-cli-zulumonkeymetallic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/zulumonkeymetallic/bob/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/zulumonkeymetallic/bob --skill inference-sh-cli-zulumonkeymetallic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill unifies access to dozens of AI apps by providing a single CLI (inference.sh/infsh) to run, manage, and orchestrate tasks across multiple providers, reducing context switching and setup overhead.

Core Features & Use Cases

  • Unified CLI for AI apps: manage image generation, video creation, LLMs, search, 3D, and automation from one tool.
  • Provider-agnostic workflows: orchestrate tasks across multiple backends without manual API integration.
  • Automation-ready: scriptable commands with JSON output for easy integration into pipelines.

Quick Start

Install the CLI, authenticate, and start running apps with a simple run 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 orchestrate multiple AI apps from different providers without managing separate APIs?▼

You can orchestrate multiple AI apps without managing separate APIs by using the inference.sh CLI, which provides a single interface to run tasks across providers. It requires installing and authenticating the infsh CLI to execute commands.

What AI tasks can I automate through a single command line interface?▼

Through a single command line interface, you can automate image generation, video creation, large language model queries, search operations, 3D work, and social automation tasks across different providers.

How do I integrate AI app results into automated workflows and pipelines?▼

You integrate AI app results into automated workflows by running commands like infsh app run with JSON output. This machine-readable format allows you to easily script and pipe results into existing automation pipelines.

Do I need to install the infsh CLI before running cross-provider AI workflows?▼

Yes, you need to install the infsh CLI and complete authentication before running cross-provider AI workflows. The CLI serves as the required environment interface for executing all available app commands.

What is the best way to manage 150+ AI apps across different backends?▼

The best way to manage 150+ AI apps across different backends is using a provider-agnostic CLI like inference.sh, which unifies access to diverse tasks and eliminates manual API integration overhead.

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