Agent skill · nvidia
nvidia-ontology-setup
Set up or troubleshoot the Auto Ontology runtime. Use for Helm (the official install), Docker Compose, developer setup, and MCP connection to an existing deployment.
What it needs
About 6k tokens when loaded.
What this skill does
<!-- SPDX-FileCopyrightText: Copyright (c) 2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0 --> Auto Ontology setup Purpose Bring up the current Auto Ontology implementation, troubleshoot it, or connect an agent to an instance that is already running. Do not invent a second installer: the official installation is the Helm chart in repository-root DEPLOYMENT.md; Docker Compose runs the same stack on one machine. devtools/setupenv.sh is a developer tool, not an installer. Typed setup, connection, ingestion, compilation, and readiness artifacts are in runtime-contract.yaml. On failure, read troubleshooting.md instead of searching the web. Instructions Required questions Ask these if not already clear. Do not guess a default and emit a command. 1. Target — Helm on Kubernetes (the official install, and the default recommendation), Docker Compose on one machine, a developer workflow (--dev / --ds, only when changing Auto Ontology itself), or "Auto Ontology is already up, I only need MCP"? 2. NVIDIA NIM key — is DEFAULTMODELSAPIKEY (Helm: defaultModelsApiKey) available? Chat and ingest need it. 3. Admin account — the email and password for the bootstrap admin. Self-service sign-up is disabled, so this is the only way to sign in. 4. Source database — a connection string (CONNECTIONSTRINGS / connectionStrings), or will connections be added in the UI? 5. Helm only — which chart version, and the URL users will browse to (appUrl). 6. Compose only — is host 5432 free? POSTGRESPORT only remaps the host side; containers still use 5432 internally. Never ask the user to paste secrets into the conversation, and never put them in command arguments. Have the user write them into a values file or .env. Install with Helm (official) Releases are published to the public NGC nvidia org (chart and images). …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/nvidia-ontology-setup