runpod-vllm-gpu-deploy

Installation
SKILL.md

RunPod vLLM Deployer

Overview

Use this repository's runpod-vllm CLI to plan, create, inspect, validate, and remove OpenAI-compatible vLLM GPU Pods. Keep configuration validation offline until the user explicitly authorizes a live operation, and preserve the local state needed for verified teardown.

Use and non-use triggers

Use this skill when the current request involves:

  • Installing or checking the runpod-vllm-deployer repository.
  • Producing an offline, redacted deployment plan.
  • Creating a RunPod vLLM Pod after clear user approval.
  • Listing Pods or inspecting the Pod recorded in local state.
  • Waiting for vLLM readiness or running the deterministic endpoint smoke test.
  • Recovering after Pod creation when local state could not be saved.
  • Destroying a specifically verified Pod and confirming provider-side absence.

Do not use this skill to operate a different RunPod client, manage Serverless endpoints, alter accounts, estimate costs, or claim that a model will fit a GPU. A request to explain, plan, inspect code, run tests, or validate configuration does not authorize any live resource mutation.

Installs
1
First Seen
Sep 14, 2026