Discover and run inference.sh apps for cloud AI generation tasks.
npx skills add https://github.com/zerwiz/wayofpi --skill inference-sh-cli-zerwiz
Please help me install this Agent Skill. Skill: inference-sh-cli Source: https://github.com/zerwiz/wayofpi/tree/main/.hermes/hermes-agent/optional-skills/devops/cli Command: npx skills add https://github.com/zerwiz/wayofpi --skill inference-sh-cli-zerwiz
This Skill removes the friction of discovering, launching, and managing cloud AI apps from the command line, so you can generate media or run research tasks without hunting for provider-specific tools.
Ask the Skill to find the correct infsh app for your task, run it with your prompt or file input, and return the generated URLs or task status.
High-intent search queries and answers about installing and using this skill.
You can run cloud AI image and video generation from the terminal by using a CLI workflow to discover the correct inference.sh app, execute it with structured JSON inputs, and handle the machine-readable output or task status.
CLI app discovery works by searching the inference.sh catalog to find the exact app ID needed for your specific task, preventing the need to guess app names when running image, video, or text to speech workflows.
Yes, you can use inference.sh for text to speech and avatar generation via command line by finding the relevant app IDs, providing structured JSON inputs, and managing the execution workflow to retrieve result URLs.
Yes, authentication is required to run inference.sh CLI workflows. The process involves checking your authentication status before executing any cloud AI generation tasks or automation jobs from the terminal.
The best way to handle long-running AI generation jobs in a CLI environment is to use a workflow handler that checks task status, manages execution, and reliably retrieves result URLs or task status updates from the cloud.
Inputs must be in JSON format when executing inference.sh apps. The CLI requires structured JSON inputs for tasks like image creation and video generation, and returns machine-readable output for result handling.
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