agent-tools

Automate AI app workflows through the inference.sh CLI.

Updated Apr 25, 2026

Search Tags:#automation #devops #cli #ai #inference #apps #inference.sh

Ready to run

npx skills add https://github.com/hendripermana/permoney --skill agent-tools-hendripermana

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-tools
Source: https://github.com/hendripermana/permoney/tree/main/.agents/skills/agent-tools
Command: npx skills add https://github.com/hendripermana/permoney --skill agent-tools-hendripermana

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates running a large catalogue of AI apps through the inference.sh CLI to streamline complex AI workflows.

Core Features & Use Cases

Unified CLI access to 150+ AI apps for image generation, video creation, LLM interactions, web search, and automation tasks.
Easy orchestration, task monitoring, and output capture across local or cloud environments.
Use cases include rapid prototyping, batch processing pipelines, and seamless integration with existing data workflows.

Quick Start

Install the inference.sh CLI, log in, and run your first app with a single command.

Frequently Asked Questions about agent-tools

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

FAQPage Schema

How do I automate running multiple AI apps from the command line?▼

You can automate running multiple AI apps from the command line by using a unified CLI to orchestrate tasks like image generation, video creation, and LLM calls across local or cloud environments. It provides app catalog access, input handling, and output capture.

Can I run batch processing pipelines for AI workflows locally and in the cloud?▼

Yes, you can run batch processing pipelines for AI workflows locally and in the cloud. The CLI supports task monitoring and output capture across environments, enabling rapid prototyping and integration with existing data workflows.

What is the best way to integrate LLM calls and image generation into existing data workflows?▼

The best way to integrate LLM calls and image generation into existing data workflows is using a single CLI that provides unified access to a large catalogue of AI apps, streamlining complex tasks and capturing outputs seamlessly.

Does the inference.sh CLI support web search and video creation automation tasks?▼

Yes, the inference.sh CLI supports web search and video creation automation tasks. It offers unified access to over 150 AI apps, allowing developers to handle diverse content generation and automation needs through one interface.

How do I get started with a unified CLI for AI app orchestration?▼

To get started with a unified CLI for AI app orchestration, install the inference.sh CLI, log in, and run your first app with a single command to begin automating your AI workflows.

Do I need to install specific dependencies to use the CLI for AI automation tasks?▼

No specific dependencies are required to use the CLI for AI automation tasks. You can install the inference.sh CLI directly, log in, and execute AI apps for image generation, LLM interactions, and web search without additional setup.