inference-sh-cli

Orchestrate 150+ AI apps through the inference.sh CLI.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Consolidate access to a broad catalog of AI apps behind a single CLI to simplify multi-tool AI workstreams.

Core Features & Use Cases

  • Unified access to 150+ AI apps via the inference.sh CLI.
  • Supports image generation, video generation, LLM tasks, search, and automation workflows.
  • Cross-platform compatibility (Linux, macOS, Windows) and scriptable inputs for reproducible pipelines.

Quick Start

Run a chosen AI app with the inference.sh CLI by providing the app ID and input data.

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 generation tasks from a single command line interface?

You can orchestrate 150+ AI apps through a single CLI by providing the app ID and input data, which returns machine-readable results and media URLs for your generation tasks.

Can I use a CLI to automate image and video generation across different operating systems?

Yes, you can script image and video generation workflows across Linux, macOS, and Windows environments by passing app IDs and input data to the CLI for reproducible pipelines.

Do I need to install and authenticate the inference.sh CLI before running AI apps?

Yes, you must install and authenticate the inference.sh CLI on your system to accept app IDs and input data, returning machine-readable results and URLs for generated media.

What is the best way to consolidate access to multiple AI apps for automation workflows?

Consolidating access to a broad catalog of AI apps behind a single CLI simplifies multi-tool workstreams by supporting LLM tasks, search, and media generation with scriptable inputs.

How does the CLI handle different types of AI tasks like LLM operations and image generation?

The CLI orchestrates diverse AI tasks by accepting specific app IDs and input data for each operation, returning machine-readable results and URLs for generated media outputs.

Are there limitations when using a single CLI to run 150+ AI apps for multi-tool workflows?

The CLI requires installation and authentication to function, and while it supports cross-platform automation, outputs are limited to machine-readable results and URLs for generated media.