doca-container-deployment
π―Skillfrom nvidia/skills
Same repository
nvidia/skills(436 items)
Installation
npx vibeindex add nvidia/skills --skill doca-container-deploymentnpx skills add nvidia/skills --skill doca-container-deployment~/.claude/skills/doca-container-deployment/SKILL.mdSKILL.md
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An NVIDIA-verified skill that guides AI agents through deploying, configuring, troubleshooting, and managing retrieval augmented generation (RAG) pipelines using Docker Compose or Helm, based on NVIDIA's RAG AI Blueprint.
Sends deep research queries to a locally running NVIDIA AI-Q Blueprint server, polling asynchronous jobs and returning reports with citations and source URLs intact.
Official NVIDIA-verified skill that teaches AI agents how to use NVIDIA cuDF for GPU-accelerated DataFrames, including pandas acceleration, dask-cuDF, ETL workflows, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads. Part of the NVIDIA Agent Skills catalog with 110+ verified skills across 24 products.
Guides AI agents through NVIDIA cuOpt developer tools and workflows for building GPU-accelerated optimization applications including vehicle routing, linear programming, and quadratic programming.
Handles installation, deployment, validation, troubleshooting, and shutdown of NVIDIA AI-Q Blueprint infrastructure via Docker Compose, Python/uv, Node.js, or Kubernetes/Helm.
An official NVIDIA-verified skill for AI agents, providing portable instructions for using NVIDIA CUDA-X libraries, AI Blueprints, and platform tools correctly, installable via the skills CLI.
An NVIDIA agent skill that provides an onboarding guide for CUDA Quantum, covering installation, test programs, GPU simulation, QPU hardware access, and quantum applications.
An NVIDIA-verified skill that provides agentic guidance for developing applications with NVIDIA DeepStream, a platform for building AI-powered video analytics and intelligent video applications on NVIDIA GPUs.
Guides AI agents through importing and configuring vision models in NVIDIA DeepStream for video analytics and intelligent streaming applications.
Guides AI agents through building synthetic datasets using NVIDIA's Data Designer library. Supports interactive and autopilot modes with declarative pipeline generation, category/Jinja2 samplers, and seed dataset integration.