inference-sh-cli

Run 150+ AI apps via a single CLI with JSON input and output.

Updated Aug 23, 2026

Search Tags:#automation #cli #cloud #image-generation #video-generation #inference-sh #ai-apps

Ready to run

npx skills add https://github.com/wwwillott/jobnimbus --skill inference-sh-cli-wwwillott

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/wwwillott/jobnimbus/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/wwwillott/jobnimbus --skill inference-sh-cli-wwwillott

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates access to a broad catalog of AI apps in the cloud via a single CLI, removing the need to manage multiple provider APIs and SDKs.

Core Features & Use Cases

Centralized launcher for 150+ AI apps with a simple CLI (infsh) to run image generation, video, TTS, search, and more.
Handles authentication, app discovery, input formatting, and JSON output to streamline automation and batch workflows.
Supports local file uploads, version pinning, and sample inputs for repeatable pipelines.

Quick Start

Install the CLI, login, and run a sample app with a provided input.

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 image generation and video creation tasks from a CLI without local GPUs?▼

Run AI image generation and video creation tasks without GPUs by using a centralized CLI to access 150+ cloud apps. The CLI handles authentication, input formatting, and JSON output retrieval to execute tasks across cloud providers.

What is the best way to automate batch AI workflows across multiple cloud providers?▼

Automating batch AI workflows across cloud providers is best handled by a single CLI that standardizes app discovery, authentication, and JSON-based input/output. This removes the need to manage multiple provider APIs and SDKs for your pipelines.

Do I need to manage multiple provider SDKs to run speech and search AI apps in automation pipelines?▼

Managing multiple provider SDKs is not required to run speech and search AI apps. The CLI handles authentication and output retrieval centrally, allowing you to integrate these tasks into automation pipelines without interacting with provider SDKs directly.

Can I use local file uploads and version pinning for repeatable AI automation pipelines?▼

Local file uploads and version pinning are supported for repeatable AI automation pipelines. The CLI integrates these features with sample inputs and JSON output handling to ensure consistent execution across your automated workflows.

How does JSON input and output handling work when integrating cloud AI apps into automation?▼

JSON input and output handling works by passing structured data to the CLI, which formats the inputs for the target cloud AI app and returns the results as JSON. This streamlines integration into automated batch workflows.