jetson-video-setup
jetson-video-setup is an agent skill published by nvidia, listed under writing code. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-25.
Sets up, repairs, or verifies the readiness of the NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson devices, and interprets the results of the one-frame encode/decode test with official samples, including CPU-buffer and device-memory sample modes.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
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.
jetson-video-setup compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| jetson-video-setup (this page) | nvidia | Use when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec… | 3,735 | 2026-10-26 |
| cudaq-importing(same repository) | nvidia | Use when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the sourc… | 3,735 | 2026-10-26 |
| cuopt-numerical-optimization-api(same repository) | nvidia | LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with an… | 3,735 | 2026-10-26 |
| cuopt-routing-api-python(same repository) | nvidia | Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routin… | 3,735 | 2026-10-26 |
| cupynumeric-install(same repository) | nvidia | Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of sc… | 3,735 | 2026-10-26 |
| cupynumeric-migration-readiness(same repository) | nvidia | Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins… | 3,735 | 2026-10-26 |
| doca-common(same repository) | nvidia | Use this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and ne… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about jetson-video-setup
- What does jetson-video-setup do?
- Sets up, repairs, or verifies the readiness of the NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson devices, and interprets the results of the one-frame encode/decode test with official samples, including CPU-buffer and device-memory sample modes.
- How do I install jetson-video-setup?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes jetson-video-setup?
- nvidia.
- Is jetson-video-setup maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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