inference-sh-cli

Execute 150+ AI apps via a unified CLI and output structured JSON.

97|8|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/peteromallet/megaplan --skill inference-sh-cli-peteromallet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/peteromallet/megaplan/tree/main/megaplan/agent/skills/inference-sh/cli
Command: npx skills add https://github.com/peteromallet/megaplan --skill inference-sh-cli-peteromallet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates access to a large suite of AI apps through a single command-line interface, reducing friction and context switching.

Core Features & Use Cases

  • Centralized CLI to discover, run, and orchestrate 150+ AI apps across image generation, video creation, LLM tasks, and search.
  • Supports deterministic workflows by piping inputs through the terminal and returning machine-readable JSON for integration.
  • Use cases include rapid prototyping, batch processing, and automation of repetitive AI tasks from scripts and pipelines.

Quick Start

Run your first AI app with a single CLI command and review the structured output.

Frequently Asked Questions about inference-sh-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate AI image and video generation from the command line?

You can automate AI image and video generation by executing apps through a unified CLI, which processes terminal inputs and returns structured JSON for seamless integration into automated workflows.

Can I run multiple AI tasks like LLM processing and search in a single CLI workflow?

Running multiple AI tasks like LLM processing and search in a single CLI workflow is supported, allowing you to orchestrate over 150 AI apps and pipe inputs deterministically for batch processing.

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

You need the inference-sh CLI installed and authenticated to run AI apps, ensuring deterministic workflows that output machine-readable JSON for your downstream scripts and pipelines.

What is the best way to integrate AI app outputs into downstream pipelines without context switching?

The best way to integrate AI app outputs into downstream pipelines is using a centralized CLI that executes tasks and returns structured JSON, reducing friction and context switching across 150+ tools.

Are there limitations when orchestrating large suites of AI apps from terminal scripts?

A key limitation is the strict dependency on having the inference-sh CLI installed and authenticated, as the tool relies on returning structured JSON for downstream processing within your pipelines.

What types of AI tasks can I streamline using a unified command-line interface?

Using a unified command-line interface, you can streamline image generation, video creation, LLM tasks, and search across varied use cases for rapid prototyping and repetitive task automation.