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AnandaAnugrahHandyanto
AnandaAnugrahHandyantoCOMMUNITY
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inference-sh-cli

Run and orchestrate 150+ AI apps via a GPU-free CLI with JSON outputs.

Updated Jun 19, 2026
Search Tags:#automation#cli#cloud#inference#ai-apps#infsh#app-runner
One-click install
npx skills add https://github.com/AnandaAnugrahHandyanto/savarez_agent --skill inference-sh-cli-anandaanugrahhandyanto
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/AnandaAnugrahHandyanto/savarez_agent/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/AnandaAnugrahHandyanto/savarez_agent --skill inference-sh-cli-anandaanugrahhandyanto

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Run 150+ AI apps in the cloud with a simple CLI, enabling non-GPU workflows and centralized control over AI tasks.

Core Features & Use Cases

  • No GPU required to run image generation, video, LLMs, and automation workloads.
  • Unified app discovery and execution with search, selection, and consistent JSON outputs.
  • Workflow automation and cross-tool integration via standard inputs and outputs for repeatable tasks.

Quick Start

Provide a sample input and run an app using the infsh CLI to see the structured JSON output.

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 AI apps in the cloud without a GPU?▼

You can run 150+ AI apps in the cloud using a GPU-free CLI. This enables non-GPU workflows for image generation, video, and LLMs by orchestrating tasks through a unified command-line interface.

How do I automate AI workloads and get machine-readable outputs?▼

Automate AI workloads by executing apps via the CLI, which returns consistent JSON outputs. This supports workflow automation and cross-tool integration through standard inputs and outputs for repeatable tasks.

Do I need a local GPU to run image generation and LLM workloads?▼

No local GPU is required to run image generation, video, and LLM workloads. The CLI processes these AI apps in the cloud, enabling centralized control over AI tasks without local hardware constraints.

How do I search and select AI apps for execution from a CLI?▼

You can search and select AI apps for execution using the unified app discovery commands. The CLI enforces prerequisites like installation and authentication, then handles execution and returns structured JSON results.

What happens when the CLI encounters common execution errors?▼

When the CLI encounters common execution errors, it handles them with built-in guidance. This ensures you can troubleshoot issues during app discovery or execution and successfully obtain your JSON outputs.

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