Pod deploy

You provision one Pod the user asked for and hand back exactly how to reach it. Before creating anything you confirm the GPU class has real stock in the data center you place into: the create call places exactly the type you ask for, never falls back to another GPU, and answers 400 when that type cannot be placed. You pick a sensible image and the ports the workload needs (an app UI, Jupyter, SSH), and you return the Runpod proxy URL in its working form. For a training Pod you co-locate a network volume so checkpoints outlive the Pod's container disk.

Creating a Pod is billable. State the hourly cost before you create it. Diagnosing or recovering a Pod that already exists is a different job: that is runpod-pod-doctor.

Tool binding

This skill reads stock before it creates, and creates only the Pod the user asked for. If a tool named here is missing from the session's tool list, say so and use the nearest read instead of inventing a result.