inference-sh-cli

Run and track 150+ cloud AI apps via a single CLI.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/travelinman1013/leroys-agent --skill inference-sh-cli-travelinman1013
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/travelinman1013/leroys-agent/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/travelinman1013/leroys-agent --skill inference-sh-cli-travelinman1013

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Run 150+ AI apps in the cloud using a single, simple CLI, eliminating the need to juggle multiple provider APIs or GPUs.

Core Features & Use Cases

  • Unified app discovery, search, and execution via the inference-sh CLI (infsh).
  • Local file uploads and JSON-based outputs for automation and pipelines.
  • Clear workflow with authentication, error handling, and task tracking across cloud AI services.

Quick Start

Install the CLI, login with infsh login, then list apps with infsh app list or run an app with infsh app run <app> --input '<json>'.

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 cloud AI services from a single CLI?

You can run 150+ cloud AI apps through a single CLI by installing the inference-sh tool, authenticating with infsh login, and executing apps using infsh app run with JSON inputs. It unifies multiple provider APIs into one consistent terminal workflow.

What is the best way to automate AI app execution without managing multiple APIs?

Automating AI app execution is best handled by consolidating access to 150+ cloud apps behind a single CLI. You use JSON-based inputs and outputs to integrate AI tasks directly into automation pipelines, eliminating the need to juggle multiple provider APIs.

Can I upload local files to cloud AI apps using a terminal command?

Yes, you can upload local files to cloud AI apps directly through the CLI. The workflow supports local file uploads alongside JSON inputs, allowing you to process local data assets in cloud-based AI models without manual web interface interaction.

How do I track running tasks and handle errors for cloud AI apps in the terminal?

You track running tasks and handle errors through the CLI's built-in lifecycle management features. It provides consistent task tracking and error handling across all cloud AI services, ensuring you can monitor execution status and troubleshoot failures directly from the terminal.

Do I need GPUs to run AI applications in the cloud with this CLI?

No, you do not need local GPUs to run AI applications. The CLI executes apps in the cloud, leveraging remote infrastructure to run AI models. This eliminates the hardware barrier, allowing you to access and manage AI workloads entirely from the terminal.