NVIDIA-AI-Blueprints

Routes VSS video questions through hot conversation context, stored memory, bounded introspection, or an exact-window vss vlm run CLI job, including a user-confirmed vss-search-archive handoff with a pre-resolved bounded VIDEO_URL. Not for retrieval or…

Use to call the VIOS REST API (sensor list, timelines, clip extraction, snapshots, add/delete sensors and streams) and to provision a source and fan it out to a headless (no-agent) build's perception consumers (RT-CV/RT-Embed/RT-VLM). Not for VLM inference,…

Use this skill when reading video-analytics metrics, incidents, alerts, and sensor data via VA-MCP (Docker :9901 or Kubernetes ${VSS_PUBLIC_URL}/va-mcp). Not for live VLM or incident-range narrative reports.

Add agent-ready vision capabilities — dense captioning, detection, search, alerting, summarization — to an agent or application through a customizable, self-contained vision stack built on the NVIDIA VSS Blueprint. Use this skill when a developer or agent…

Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics, Mode C SOP compliance via the SOP tools. Not for standalone video summarization, real-time alerts or ad-hoc Q&A.

Use when the user asks to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). Not for standalone microservices — use the vss-deploy-* skill.

Use this skill when running AutoMagicCalib on local MP4s, RTSP, or the bundled sample dataset, or when deploying vss-auto-calibration. Do not use for non-AMC calibration or runtime analytics.

Use this skill when a user wants to search archived VSS video or ingest or delete a source for search. Do not use it for visual Q&A, live captioning, or video summarization.

Use when composing, adapting, or validating an AI-Q workflow YAML under configs/ — selecting a shipped profile, enabling tools and data_source_registry sources, wiring chat or direct data-science workflows, configuring NeMo Relay and general.telemetry…

Use this skill to turn researched or computed numeric data into source-grounded charts. It has two delivery modes and picks one from the tools available to you. When an `execute` tool (sandbox) is available, render a PNG chart plus its CSV with…

Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.

Use when customizing AI-Q agent behavior through Jinja2 prompt templates or per-agent model selection — editing prompts under src/aiq_agent/agents/*/prompts/, adding template variables, or assigning/swapping LLMs per agent role via config (the llms section…

Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.

Use when changing AI-Q continuous integration, pre-commit, or contributor governance — editing .github/workflows/ (ci, ui, skills-eval, request-nvskills-ci), .pre-commit-config.yaml hooks, .github/CODEOWNERS, .coderabbit.yaml, copy-pr-bot, or the…

Use when validating an AI-Q change before opening or merging a PR — choosing and running the right Python, frontend, docs, or eval checks for the surfaces you touched instead of one fixed command list.

Use when adding or changing an AI-Q data source under sources/, registering it as a NeMo Agent Toolkit function, wiring it into the data_source_registry for UI toggles, or validating retrieval behavior with tests.

Discoverability shim for the Retail-Agentic-Commerce CVE remediation Codex skill. Use for CVE, BDSA, GHSA, OSV, Dependabot, Black Duck, Snyk, npm, PyPI, or package advisory remediation.

Discoverability shim for the Retail-Agentic-Commerce backend feature Codex skill. Use when writing or modifying Python backend code, routes, services, models, tests, or protocol logic.

Discoverability shim for the Retail-Agentic-Commerce pre-commit analysis Codex skill. Use before commits, after significant changes, or for implementation-quality validation.

Discoverability shim for the Retail-Agentic-Commerce setup Codex skill. Use when the user asks to setup, install, start, launch, or run the project stack.

Discoverability shim for the Retail-Agentic-Commerce UI Codex skill. Use when creating or modifying frontend pages, components, hooks, styling, tests, or browser behavior.

Dependency vulnerability remediation workflow for this repository. Use when fixing CVE, BDSA, GHSA, OSV, npm, PyPI, Dependabot, Black Duck, Snyk, or other package vulnerability findings, especially when the user asks for minimal package-only updates,…

Python backend development standards for FastAPI, SQLModel, pytest, Ruff, and Pyright. Use when writing or modifying backend code in src/merchant, src/payment, src/apps_sdk, agents, tests, API routes, services, models, or protocol logic.

Pre-commit implementation analysis for Retail-Agentic-Commerce. Use before commits, after significant changes, or when validating Apps SDK tools, mock data, MCP communication, widget isolation, or implementation quality.

Start, stop, configure, inspect, and troubleshoot the Retail Shopping Assistant locally with backend Python and React code outside containers, local Milvus infra containers, and remote NIM endpoints from docker-compose-nim-local.yaml.

Start, stop, configure, inspect, and troubleshoot the Retail Shopping Assistant locally with backend Python and React code outside containers, local Milvus infra containers, and remote NIM endpoints from docker-compose-nim-local.yaml.

Run the Retail Shopping Assistant test suites under tests/, including offline pytest unit tests in tests/unit and live integration scripts in tests/integration for conversation, quality, timing, and plots.

Run the Retail Shopping Assistant test suites under tests/, including offline pytest unit tests in tests/unit and live integration scripts in tests/integration for conversation, quality, timing, and plots.

Configure Nemotron Voice Agent runtime via `.env`, example-local `services.{cloud,local}.yaml`, and example-local `prompts.yaml`. Use when changing prompts, tracing, audio knobs, exposed pipelines or transports, or local NIM image overrides.

Deploy Nemotron Voice Agent via root compose using recipe profiles. Use when deploying or troubleshooting auth/startup.

Upgrade the Nemotron Voice Agent to a new Pipecat (pipecat-ai) version. Reads release notes for every release in range, diffs old vs new, discovers every example pipeline and Pipecat call site, implements changes, then runs multi-agent gap analysis until…

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,…

Use when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, Mean-Variance/SOCP variance caps, efficient frontiers, scenario generation, or NVIDIA cuOpt.