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carterwayneskhizeine
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inference-sh-cli

Run inference.sh CLI apps with JSON inputs and media URL outputs.

19|4|Updated Apr 22, 2026
Search Tags:#cli#json#image-generation#video-generation#ai-search#inference.sh#local-file-upload
One-click install
npx skills add https://github.com/carterwayneskhizeine/hermes-agent-windows-R --skill inference-sh-cli-carterwayneskhizeine
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: inference-sh-cli
Source: https://github.com/carterwayneskhizeine/hermes-agent-windows-R/tree/main/optional-skills/devops/cli
Command: npx skills add https://github.com/carterwayneskhizeine/hermes-agent-windows-R --skill inference-sh-cli-carterwayneskhizeine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the problem of having to manually find, configure, and run many different AI provider tools to generate images, videos, search, and more. It streamlines AI app execution by letting you use a single CLI workflow to discover and run cloud apps without managing GPUs or multiple API integrations.

Core Features & Use Cases

  • App discovery by search: Find the correct inference.sh app ID by searching (e.g., for FLUX, Veo, Seedance, TTS, Tavily, Exa) instead of guessing names.
  • Run apps with JSON inputs/outputs: Execute apps via infsh app run ... --input '<json>' --json and handle structured results, typically returning media URLs.
  • Local file support: Pass local image/audio/video paths in the JSON input for workflows like image-to-video or avatar/lipsync generation.
  • Use cases: Image generation (FLUX/Reve/Seedream/etc.), video generation (Veo/Seedance/Wan/etc.), AI search (Tavily/Exa), and avatar/lipsync creation.

Quick Start

Ask the AI assistant to run the inference.sh CLI workflow to generate an image by first searching for the best matching image app and then running it with your prompt as JSON input.

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 cloud AI image and video generation from the terminal?▼

Run cloud AI image and video generation from the terminal by using the inference.sh CLI to search for the correct app ID and execute it with your prompt passed as JSON input, which returns media URLs formatted for inline display.

What is the best way to manage multiple generative AI APIs without handling individual provider integrations?▼

Managing multiple generative AI APIs without individual provider integrations is done through the inference.sh CLI, which provides a single workflow to discover and run 150+ cloud apps for images, videos, and search without managing GPUs.

Can I use local files for image-to-video or lipsync generation tasks?▼

Yes, you can use local files for image-to-video or lipsync generation tasks by passing local image, audio, or video file paths directly within the JSON input when executing the infsh app run command.

Do I need to know the exact app ID to run a model like FLUX or Veo?▼

No, you do not need to know the exact app ID to run models like FLUX or Veo, because the CLI workflow includes an app discovery search feature to find the correct inference.sh app ID by querying model names.

How do I get machine-readable JSON output from AI app executions?▼

Get machine-readable JSON output from AI app executions by running the infsh app run command with the --json flag, ensuring structured results that typically return media URLs formatted for inline display.

What are the requirements to start using the inference.sh CLI workflow?▼

Requirements to start using the inference.sh CLI workflow include having an authenticated infsh CLI installed in your environment, as the tool executes terminal commands to run cloud apps and return generation results.

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