inference-sh-cli

Automate 150+ AI apps via the inference.sh CLI with JSON outputs.

Updated May 11, 2026
One-click install
npx skills add https://github.com/jason660519/Project-Manager --skill inference-sh-cli-jason660519
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/jason660519/Project-Manager/tree/main/hermes-agent/optional-skills/devops/cli
Command: npx skills add https://github.com/jason660519/Project-Manager --skill inference-sh-cli-jason660519

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a unified command-line interface (CLI) to run and orchestrate 150+ AI apps from inference.sh, removing the need to manage multiple provider APIs.

Core Features & Use Cases

  • Centralized app discovery and execution via the infsh CLI, covering image generation, video creation, LLMs, and search.
  • Consistent JSON outputs and workflow support (sample runs, app run, and task tracking) for easy integration into automation pipelines.
  • Local file support and cross-platform compatibility (Linux, macOS, Windows) to fit into existing development workflows.

Quick Start

Install the CLI, authenticate with infsh login, then start running apps with an infsh app 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 run multiple AI image and video generation apps from a single terminal command?

You can run 150+ AI image and video generation apps from a terminal by installing the infsh CLI, authenticating with infsh login, and executing the infsh app run command to generate outputs directly.

Can I execute AI workflows on macOS, Linux, and Windows using a command-line interface?

Yes, the infsh CLI supports cross-platform AI workflow execution on macOS, Linux, and Windows, allowing you to run diverse AI tasks and process local files directly from your terminal environment.

How do I integrate AI app results into my existing automation pipelines?

You can integrate AI app results into automation pipelines by utilizing the machine-readable JSON outputs provided by the infsh CLI after executing app discovery, sample runs, or task-tracking workflows.

Do I need to manage multiple provider APIs to automate diverse AI tasks from the command line?

No, you do not need to manage multiple provider APIs to automate AI tasks; the infsh CLI provides a unified command-line interface that removes this requirement by centralizing app execution and discovery.

What is the best way to discover available AI models for search and generation tasks?

The best way to discover available AI models for search and generation is by using the infsh CLI's app discovery feature, which lists 150+ accessible AI applications across various categories.

Are there limitations when running local files through AI generation workflows in the terminal?

The infsh CLI supports local file inputs for AI generation workflows, but requires the CLI to be installed and authenticated via infsh login to successfully process files and return JSON outputs.