inference-sh-cli

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

97|8|Updated Mar 20, 2026

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

Ready to run

npx skills add https://github.com/peteromallet/megaplan --skill inference-sh-cli-peteromallet

💬 Prompt for ChatGPT / Claude Chat▼

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.