skills.rest
inference-sh
inference-shOFFICIAL
Explore all skills by this author →
WebsiteGitHub

infsh-cli

Execute over 150 cloud-hosted AI applications via a command-line interface.

688|95|Updated Jan 31, 2026
Search Tags:#automation#serverless#models#cli#ai#inference
One-click install
npx skills add https://github.com/inference-sh/skills --skill infsh-cli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: infsh-cli
Source: https://github.com/inference-sh/skills/tree/main/tools/infsh-cli
Command: npx skills add https://github.com/inference-sh/skills --skill infsh-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a command-line interface to access and run a vast array of over 150 AI applications without requiring local GPU resources.

Core Features & Use Cases

  • Unified Access: Interact with diverse AI models for image generation, video creation, LLM calls, web search, and more through a single CLI.
  • Simplified Workflow: Execute complex AI tasks with simple commands, abstracting away the complexities of individual model APIs.
  • Use Case: Generate an image of a "cyberpunk cat" using the FLUX model, then immediately use the output to create a short video clip with the Veo model, all from your terminal.

Quick Start

Run the infsh app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut"}' command to generate an image.

Frequently Asked Questions about infsh-cli

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

FAQPage Schema
How do I run AI models from the command line without a local GPU?▼

You can execute cloud-hosted AI applications via a command-line interface to run tasks like image generation and LLM interactions without local GPU resources. This approach abstracts individual model APIs, enabling serverless task execution directly from your terminal.

Can I generate an image and use it for video creation in one CLI workflow?▼

Yes, you can generate an image using a model like FLUX and immediately use the output to create a video with a model like Veo. This simplified workflow chains multiple cloud-hosted AI tasks sequentially using simple terminal commands.

What is the syntax for executing serverless AI tasks via CLI?▼

Serverless AI tasks are executed using specific app identifiers and JSON input for configuration. You run a command like `infsh app run <app-identifier> --input '<json-data>'` to pass prompts and parameters directly to the cloud-hosted application.

Does command-line AI inference support web search and social media automation?▼

Command-line AI inference supports web search, social media automation, image generation, video creation, and LLM interactions. It provides unified access to over 150 diverse cloud-hosted applications through a single terminal interface.

Do I need to install specific model dependencies to run AI apps locally?▼

You do not need to install model dependencies or have local GPU resources. The command-line interface connects to cloud-hosted applications, abstracting away the complexities of individual model APIs and entirely eliminating local setup requirements.

Related Skills

Explore More Software Engineering Skills→
tanyagraytanyagray

bitbucket-setup

Install and configure the Bitbucket CLI for Bitbucket Cloud workflows.

Community
Intermediate
unclehowellunclehowell

guidance

Generate constrained LLM outputs conforming to JSON, XML, or code formats.

Community
Advanced
SamurAIGPTSamurAIGPT
4.0k

muapi-workflow

Create, execute, and manage multi-step AI generation workflows via natural language.

Official
Advanced
InverterNetworkInverterNetwork

inference-sh-cli

Execute AI image, video, and language models from a unified command-line interface.

Official
Intermediate