skills

<!-- SPDX-License-Identifier: Apache-2.0 AND CC-BY-4.0 --> <!-- Copyright (c) 2026 NVIDIA Corporation. All rights reserved. --> NVIDIA Agent Skills **Official, NVIDIA-verified Agent Skills for Claude Code, Codex, and other coding agents.** > 📖 **Docs:** docs.nvidia.com/skills &nbsp;·&nbsp; > 📺 **Livestream:** From Vulnerable to Verified &nbsp;·&nbsp; > 📝 **Blog:** NVIDIA Verified Agent Skills: Capability Governance for AI Agents --- Skills are portable instruction sets that teach AI agents how to use NVIDIA software optimally: Physical AI and robotics workflows, simulation, CUDA-X libraries, RAG and AI Blueprints, and platform tools. This repository is a catalog: skills are maintained in their respective product repos, and mirrored here daily via an automated sync pipeline. Skills are being added continuously, so check back for updates. We are building this infrastructure in the open, and contributions are welcome. See the Roadmap for what is planned next. --- Quickstart Install NVIDIA skills with the default `skills` CLI flow: The CLI runs through `npx` and prompts you to choose a skill and install destination. You do not need to clone this repo or copy skill folders by hand. > **Requires a current `skills` CLI (v1.5.16 or newer).** Installing via `npx skills@latest add nvidia/skills` always uses the latest. On older CLIs (v1.5.15 and earlier), skills may install but not appear in Claude Code — see Troubleshooting. The skill is available the next time your agent loads skills and encounters a relevant task. For example, ask your agent to "solve a linear programming problem with cuOpt" and the skill guides it through the cuOpt Python API. In Claude Code, run `/reload-skills` to load newly installed skills in your current session. Install One Skill Without Prompts Use this when you already know the skill name and want to skip prompts. Replace `cuopt-numerical-optimization-api` with any skill name from the Skill Catalog. Install for a Specific Agent Use `--agent` to target a specific AI coding agent. Initially, we'll support common client targets, expanding the list over time. For the full list of clients supported by the spec, see the `skills` CLI Supported Agents table. **Claude Code** **Codex** **Snowflake CoCo** **Cursor** **Kiro** Use `--agent` more than once to install the same skill into multiple agents. Keep Skills Up to Date New skills land continuously, and existing ones are revised, renamed, or consolidated as the catalog evolves. Refresh what you have installed with: Run it interactively and the CLI also flags skills that were removed or merged upstream (for example, when several skills are consolidated into one) and offers to remove the stale local copies. Use `npx skills list` to see what is installed and `npx skills check` to preview what is out of date first. Browse the Catalog Use this when you want to see available NVIDIA skills before installing anything. For non-interactive installs, global installs, agent-specific installs, updates, removals, and fallback manual copying, see Advanced installation. --- Skill Catalog <!-- skills-table-start --> | Product | Description | Skills | |---------|-------------|--------| | **AIQ** | NVIDIA AI-Q Blueprint - deploy local AI-Q services and run shallow or deep research workflows as agent skills. | `aiq-research`, `aiq-deploy` | | **CUDA-Q** | CUDA Quantum — onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications. | `cudaq-guide` | | **cuDF** | Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads. | `accelerated-computing-cudf` | | **cuOpt** | GPU-accelerated optimization — vehicle routing, linear programming, quadratic programming, installation, server deployment, and developer tools. | `cuopt-install`, `cuopt-multi-objective-exploration`, `cuopt-numerical-optimization-api`, `cuopt-numerical-optimization-formulation`, `cuopt-routing-api-python`, `cuopt-server-api-python` | | **cuPyNumeric** | NumPy and SciPy on multi-node multi-GPU systems — skills to help with installing cuPyNumeric, migrating existing NumPy code, and doing parallel I/O | `cupynumeric-hdf5`, `cupynumeric-install`, `cupynumeric-migration-readiness`, `cupynumeric-parallel-data-load` | | **DALI** | GPU-accelerated data loading and processing with NVIDIA DALI. | `dali-dynamic-mode` | | **Da