Agent skill · nvidia
jetson-video-setup
Use when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the one-frame encode/decode smoke test with official samples, and when interpreting what those readiness results, including CPU-buffer and device-memory sample modes, do and do not establish.
What it needs
About 5k tokens when loaded.
What this skill does
Jetson Video Setup Purpose Inspect, install, and verify the native NVIDIA Video Codec SDK and PyNvVideoCodec on a live Jetson. Setup owns product installation and readiness. Use the sibling video skills for codec support, encoder configuration, performance measurement, and application pipelines. Use the standard package manager, Python environment tools, and installed NVIDIA samples directly, then return a concise readiness result. Read before acting Read setup-workflow.md for inspection and readiness checks. Read setup-install.md completely once before an APT, venv, or pip change. Read setup-output-contract.md for the concise human-readable result to return. Read video-content.md only when a request also supplies or asks to retrieve media. Select the product Resolve the requested product before touching the target: “Video Codec SDK”, “VC SDK”, “native SDK”, or nvidia-video-codec-sdk selects the native product. “PyNvVideoCodec”, “PyNv”, “PySDK”, “Python SDK”, or an explicitly Python interface selects PyNvVideoCodec. Select both only when the user asks for both. A genuinely bare “video SDK” setup or readiness request is ambiguous. Ask whether the user wants native Video Codec SDK, PyNvVideoCodec, or both, then stop. The word “report” does not resolve that ambiguity. Keep native and Python work independent. A failure on one surface must not erase a successful result from the other. Workflow 1. Confirm commands would run on a Jetson. Inspect /etc/nvtegrarelease, /etc/os-release, and the requested GPU ordinal. On another host, provide guidance only and make no readiness claim. 2. Inspect only the selected product with the direct commands in setup-workflow.md. For native, identify the installed package, package-owned Samples tree, CUDA toolkit, and build tools. For Python, use the exact interpreter supplied by the user or created during this request and inspect its installed distribution and loaded module. Never scan the filesystem for virtual environments. 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/jetson-video-setup