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NVIDIA RAG Blueprint | DecimalAI

devopsby nvidia

NVIDIA RAG Blueprint

nvidia/rag-blueprint

Source nvidia/skills ↗License Apache-2.0

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).

SkillScore52Maintained

Automatic

AI Engineer pack

Last verified 8/13/2026

What it changes

Passed 12 of 23 test cases with the skill, and 5 of 23 without it.

Without skill20%

With skill52%

Checks it passed that the model alone missed

Identifies the deployment type as library mode.
Explains that RTX PRO 6000 GPUs do not support Nemotron Parse.
Filters environment configuration variables starting with prefix APP_.

and 5 more in the full report

8 fixed5 passed either way12 still failing0 broke

Pass-rate lift: +32 pp
Tokens: +67%
Agent turns: 0%
Response time: -51%

Model gemini-3.6-flashMeasured 8/13/2026v113 of 25 cases passed with skill · 23 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/nvidia-rag-blueprint/SKILL.md https://app.decimal.ai/s/nvidia-rag-blueprint/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add nvidia-rag-blueprint, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/nvidia-rag-blueprint/ and pins it in .decimal/skills.lock

decimalai skills add nvidia-rag-blueprint

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/nvidia-rag-blueprint/SKILL.md https://app.decimal.ai/s/nvidia-rag-blueprint/SKILL.md

Raw file: /s/nvidia-rag-blueprint/SKILL.md ↗ · machine-readable summary at /s/nvidia-rag-blueprint.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

A user asks to configure their active self-hosted Docker deployment without specifying a feature. What environment variable pattern should be checked to list active features?

What was checked, without and with the skill
Checked	Without skill	With skill
Filters environment configuration variables starting with prefix APP_.	Missed	Passed

case-24 · gemini-3.6-flash · 8/13/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md167 lines4 files

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

Match the user request to the intent routing table below.
Read the referenced playbook before making changes.
Use repository docs and deployment config files as the source of truth.
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`

Track record

Benchmark

12 / 23

test cases passed, vs 5 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

nvidia / skills

skills/rag-blueprint/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1Bundled 3 files

Other skills for the same job

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nvidia/aiq-deployUse when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.Close match+59 pp pass-rate lift

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Ready to supercharge your AI agents?

See it in action

What's inside

NVIDIA RAG Blueprint

Purpose

Instructions

Prerequisites

Autonomy Principles

Intent Detection

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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