inference-sh-cli

Name: inference-sh-cli
Availability: InStock
Author: nelohenriq

Automate cloud-based AI app execution via the infsh CLI.

1|Updated Mar 22, 2026

Search Tags:#automation #workflow #cli #cloud #developer-tools #inference #ai-apps

Ready to run

npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill inference-sh-cli-nelohenriq

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/nelohenriq/hermes-agent-plus/tree/main/skills/inference-sh/cli
Command: npx skills add https://github.com/nelohenriq/hermes-agent-plus --skill inference-sh-cli-nelohenriq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill unifies access to 150+ AI apps behind a single CLI, eliminating the complexity of managing multiple provider APIs and GPU environments.

Core Features & Use Cases

Unified CLI to search, discover, and run AI apps across providers.
View app details, generate sample inputs, and execute jobs with structured outputs.
Use cases include rapid prototyping, automation workflows, and multi-provider experimentation.

Quick Start

Install the inference.sh CLI, login, and start running apps with infsh app run using app IDs.

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 apps from different providers using a single CLI?▼

You can run multiple AI apps from different providers using a single CLI by installing the inference.sh CLI. It unifies access to 150+ cloud-based AI apps, allowing you to discover and execute jobs across image, video, and text tasks without managing multiple provider APIs.

What is the best way to automate cloud-based AI app execution?▼

Automating cloud-based AI app execution is best handled through a unified CLI that supports parameterized runs and task tracking. This approach eliminates the complexity of managing separate GPU environments by routing jobs through a single interface using infsh app run commands.

Can I get structured JSON outputs from CLI automation workflows?▼

Yes, you can get structured JSON outputs from CLI automation workflows. The CLI automatically structures the outputs of your parameterized AI app runs, ensuring that data from multi-provider image, video, and text tasks is consistently formatted for downstream processing.

Do I need to install specific prerequisites to use a unified AI CLI?▼

You need to install the inference.sh CLI prerequisites and complete a login process before executing apps. Once set up, you can immediately search for app IDs, generate sample inputs, and run multi-provider AI workloads directly from your terminal.

How does task tracking work for multi-provider AI workflows?▼

Task tracking for multi-provider AI workflows is managed through the infsh command interface. It monitors the execution of parameterized runs across different providers, handling errors and ensuring that your cloud-based image, video, and text tasks complete successfully.

Why does managing multiple provider APIs create complexity for AI prototyping?▼

Managing multiple provider APIs creates complexity for AI prototyping because it requires configuring separate GPU environments and handling inconsistent interfaces. A unified CLI solves this by standardizing app discovery and execution across 150+ AI apps behind a single command structure.