Agent skill · NVIDIA
dynamo-recipe-runner
Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments.
What it needs
About 4k tokens when loaded.
What this skill does
Dynamo Recipe Runner <!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. SPDX-License-Identifier: CC-BY-4.0 --> Purpose Get from user intent to a working Dynamo recipe endpoint with minimal back and forth. Do not create new guide content. Operate on the existing recipes/ tree, patch the smallest necessary set of manifests, deploy when the user has cluster access, and prove success with an OpenAI-compatible smoke request. Prerequisites Python 3.10+ on the operator machine. kubectl configured with a working cluster context. Cluster has a default storage class for model-cache PVCs. Hugging Face token stored in a Kubernetes secret named hf-token-secret (or equivalent) in the target namespace. Read access to the recipes/ tree in the ai-dynamo/dynamo repository. Required Inputs Collect or infer these before changing manifests: recipe target: model, framework (vllm, sglang, trtllm, tokenspeed), deployment mode, and GPU type/count Kubernetes context and namespace Hugging Face secret name, usually hf-token-secret storage class for model cache PVCs runtime image tag if the recipe uses a placeholder or stale test image whether to run commands or only produce exact commands If a required value is missing and cannot be inferred from the selected recipe, ask for only that value. Instructions 1. Preflight Run read-only checks first: If kubectl is unavailable or the cluster is unreachable, continue by selecting and validating the recipe, then return exact commands instead of pretending the deployment ran. 2. Select The Recipe Use the recipe matrix from recipes/README.md and the scanner: Prefer an exact existing recipe. Do not invent new manifests unless the user explicitly asks to author a new recipe. 3. Inspect And Validate Read the selected recipe README, model-cache manifests, deploy.yaml, and perf.yaml if present. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/dynamo-recipe-runner