inference-sh-cli

Search and run inference.sh cloud AI apps with JSON inputs.

3|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/twjarviszyra-web/hermes-unbound --skill inference-sh-cli-twjarviszyra-web
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/twjarviszyra-web/hermes-unbound/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/twjarviszyra-web/hermes-unbound --skill inference-sh-cli-twjarviszyra-web

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of finding the right inference.sh app and manually wiring up cloud AI jobs from the terminal, so you can focus on the output instead of the CLI details.

Core Features & Use Cases

  • App discovery: Search and browse the inference.sh catalog to find the exact image, video, audio, search, or automation app you need.
  • Authenticated execution: Run apps with structured JSON inputs after confirming login, making requests machine-readable and reliable.
  • Long-running job handling: Track task IDs, fetch results later, and retrieve generated media URLs for workflows like image generation, video creation, TTS, and avatar rendering.

Quick Start

Ask me to find the right inference.sh app for your task and run it with your prompt so I can return the generated output links.

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 cloud AI apps from the terminal using inference.sh?

To run cloud AI apps from the terminal, you need authenticated CLI access to search the inference.sh catalog, execute apps with structured JSON inputs, and manage task IDs to retrieve generated media URLs for long-running jobs.

What is the best way to automate image and video generation via command line?

Automating image and video generation via command line is best handled by discovering the exact app ID in the inference.sh catalog and submitting prompt-driven JSON payloads through the CLI, which tracks long-running task IDs to fetch the final media URLs.

How do I handle long-running AI tasks when generating video from the terminal?

Handling long-running AI tasks when generating video from the terminal involves tracking the unique task ID returned after submitting your JSON input payload, then querying the inference.sh CLI later to fetch the completed video generation results and media URLs.

Do I need an authenticated CLI to use inference.sh for text-to-speech automation?

Yes, you need an authenticated CLI to use inference.sh for text-to-speech automation, as confirming login ensures that requests with structured JSON inputs are machine-readable and reliable before executing prompt-driven avatar synthesis or TTS workflows.

How does app discovery work for inference.sh terminal automation?

App discovery for inference.sh terminal automation works by searching and browsing the cloud catalog to find the exact image, video, audio, search, or automation application needed, using the specific app ID to execute structured JSON payloads from the command line.

Can I use structured JSON inputs for prompt-driven search and synthesis workflows?

Yes, you can use structured JSON inputs for prompt-driven search and synthesis workflows, as the CLI requires exact app ID discovery and authenticated execution to make requests machine-readable and reliable for generating text-to-speech, avatars, and other media.