inference-sh-cli

Run inference.sh AI apps from the terminal with JSON inputs.

Updated May 14, 2026
One-click install
npx skills add https://github.com/SethyPagna/Secretary-Jarvis --skill inference-sh-cli-sethypagna
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/SethyPagna/Secretary-Jarvis/tree/main/src/capabilities/optional-skills/devops/cli
Command: npx skills add https://github.com/SethyPagna/Secretary-Jarvis --skill inference-sh-cli-sethypagna

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It removes the friction of discovering, launching, and monitoring cloud AI apps from the command line, so you can get results without memorizing provider-specific workflows.

Core Features & Use Cases

  • Search first to find the exact app ID before running a job.
  • Run image, video, search, transcription, TTS, avatar, and other AI tasks with JSON input and machine-readable output.
  • Handle local file uploads, authentication, version pinning, and long-running task tracking from one CLI workflow.
  • Use cases include generating a prompt-to-image asset, launching a Veo video job, or checking the status of a background render.

Quick Start

Use the inference.sh CLI skill to search for the right app, run it with your prompt, and return the generated media or task result.

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?

The inference.sh CLI lets you run cloud AI apps from the terminal by searching for an app ID, sending a JSON input payload, and returning the generated media or task result directly in your console.

How do I generate images and videos from a command line interface?

To generate images and videos from a command line interface, search for the specific app ID, run it with your prompt using a JSON payload, and track the task status for long-running video renders.

Do I need authenticated access to run inference.sh AI tasks?

Yes, you need authenticated infsh access to run inference.sh AI tasks. The CLI workflow requires valid credentials to execute cloud-hosted jobs, handle file uploads, and track long-running task statuses.

What is the best way to track long-running AI video generation jobs in a terminal?

The best way to track long-running AI video generation jobs is using a CLI that provides built-in task tracking, allowing you to check the status of background renders and return machine-readable output without leaving the terminal.

Can I handle local file uploads and TTS generation from the command line?

Yes, you can handle local file uploads and TTS generation from the command line. The CLI workflow manages local file transfers and executes text-to-speech, search, and avatar creation tasks using JSON input payloads.