Agent skill · NVIDIA
rag-blueprint
NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).
What it needs
About 6k tokens when loaded.
What this skill does
NVIDIA RAG Blueprint Purpose Use this skill for NVIDIA RAG Blueprint operations: deployment, configuration, troubleshooting, shutdown, and feature management across Docker, Helm, and library deployments. Instructions 1. Match the user request to the intent routing table below. 2. Read the referenced playbook before making changes. 3. Use repository docs and deployment config files as the source of truth. 4. Verify the affected service or workflow after changes. Prerequisites NVIDIA RAG Blueprint repository checkout. Docker/Compose or Kubernetes/Helm for deployments. Python 3.11+ for library workflows. NVIDIA GPU tooling for self-hosted NIM services. Autonomy Principles Auto-detect everything: GPU, VRAM, drivers, Docker, CUDA, disk, OS, ports, existing services, NGC key, repo state. If it can be checked with a command, check it — don't ask the user. Ask only when user action is required: providing an API key, confirming data deletion, or choosing between equally valid options. Once analysis is done, route to the correct workflow and execute. Intent Detection Determine what the user wants and route immediately: User Intent Action ------------- -------- Deploy, install, set up, start RAG Read and follow references/deploy.md Configure, enable, change, toggle a feature Use the Configure section below Troubleshoot, debug, fix, error, unhealthy Read and follow references/troubleshoot.md Stop, shutdown, tear down, clean up Read and follow references/shutdown.md If the intent is ambiguous, infer from context (e.g., "RAG isn't working" → troubleshoot; "get RAG running" → deploy). Only ask if genuinely unclear. --- Configure Requires a running RAG deployment. If services are not running, deploy first via references/deploy.md. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/rag-blueprint