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jetson-video-capability

Query Jetson NVENC and NVDEC codec capabilities and reconcile them with NVIDIA documentation.

3.2k|370|Updated Feb 25, 2026
Search Tags:#jetson#video codec#NVENC#nvdec#pynvvideocodec#hardware encode#capability query
One-click install
npx skills add https://github.com/NVIDIA/skills --skill jetson-video-capability
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: jetson-video-capability
Source: https://github.com/NVIDIA/skills/tree/main/skills/jetson-video-capability
Command: npx skills add https://github.com/NVIDIA/skills --skill jetson-video-capability

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyNvVideoCodec, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Determining whether a specific codec, profile, chroma format, bit depth, or resolution is actually supported on an NVIDIA Jetson device is error-prone: live API responses, sample-program reports, and product documentation often disagree. This Skill reconciles those three evidence sources so agents publish accurate product-support verdicts instead of guessing.

Core Features & Use Cases

  • Live capability queries: Runs authenticated PyNvVideoCodec GetEncoderCaps/GetDecoderCaps queries and native AppEncCuda/AppDec sample reports on the target Jetson GPU.
  • Documentation cross-check: Reconciles raw query evidence against NVIDIA's Video Encode and Decode Support Matrix and the version-matched SDK 13.0 application notes before publishing a support verdict.
  • Bounded operation proof: Coordinates with sibling skills to run a minimal encode-then-decode operation when live availability must be proven, keeping API, sample, operation, and documentation evidence strictly separate.
  • Use Case: Ask whether HEVC 10-bit 4:4:4 encoding is supported on a Jetson Thor board, and the Skill queries the live device, checks NVIDIA documentation, and reports a reconciled supported/unsupported/unknown verdict.

Quick Start

Ask your agent to check whether a specific codec, profile, and bit depth is supported on this Jetson device using the jetson-video-capability skill.

Frequently Asked Questions about jetson-video-capability

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check codec support on an NVIDIA Jetson device?▼

Query the live target using PyNvVideoCodec GetEncoderCaps and GetDecoderCaps APIs or the native AppEncCuda -ec and AppDec -dc sample reports, then cross-check the result against NVIDIA's Video Encode and Decode Support Matrix. This Skill automates that reconciliation and publishes a supported, unsupported, or unknown verdict.

What codecs can PyNvVideoCodec query for decoder capabilities?▼

GetDecoderCaps covers ten families: mpeg1, mpeg2, mpeg4, vc1, h264, hevc, vp8, vp9, av1, and jpeg. Each family is queried across monochrome, 420, 422, and 444 chroma at 8, 10, and 12-bit depths, producing a 120-tuple matrix.

Does a positive GetEncoderCaps result mean the codec is product-supported?▼

No. An API response is recorded as capability_reported, not product support. The customer-facing verdict comes only from NVIDIA documentation, and live availability requires a successful exact encode-then-decode operation.

Can this skill verify Netflix or Widevine playback on Jetson?▼

No. The skill covers hardware encode and decode of user-supplied non-DRM bitstreams only. It does not cover, enable, or verify streaming-service or content-DRM playback, and it declines such requests explicitly.

Why are nonzero-GPU capability results reported as unknown?▼

PyNvVideoCodec 2.1 encoder and decoder capability helpers internally select GPU 0, so queries cannot be routed to other devices. Any nonzero-GPU capability question is therefore reported as unknown rather than guessed.

Can this skill measure PSNR or SSIM video quality?▼

No. Objective quality metrics such as PSNR and SSIM are explicitly out of scope. The skill states that a separately authorized quality workflow is required and stops without probing the target.

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