Agent skill · nvidia
jetson-video-recipe
Use when turning a Jetson encoder use case into one validated surface-neutral recipe with native and PyNvVideoCodec projections for codec, preset, rate control, bitrate, latency, format, and profile.
What it needs
About 6k tokens when loaded.
What this skill does
Jetson Video Recipe Purpose Convert workload intent into one deterministic schema-2 nvcodec-recipe. Preserve the user’s semantic controls, show defaulted assumptions, and project the same intent to native Video Codec SDK and PyNvVideoCodec without claiming it has executed. Prerequisites This skill owns the canonical recipe engine — scripts/recipes/recipemodel.py and its scripts/recipes/data/encoder-intent-catalog.json. Invoke the engine directly from this installed skill; it has no setup-runtime or sibling-launcher dependency. Recipe planning and structural validation are media-free and can run off target. Do not request, retrieve, inspect, or convert media for a plan-only request. Content selection and provenance belong to the later execution or measurement workflow. Consume that workflow's versioned content artifact only at handoff; do not load or enforce its input gate during plan-only work. Setup evidence is optional for check-live. With no environment, validate the recipe normally and return an honest unknown live classification plus non-mutating remediation to jetson-video-setup; planning and replay validation remain complete and unchanged. If setup is not installed, tell the user to install that skill. When supplied, the fresh schema-1.2 setup environment is mandatory to validate and may not be ignored or replaced by a fallback. Its capabilities block is the established PyNvVideoCodec encoder authority, so a pynvc check needs no separate report. A caller may additionally supply the optional encoder capability report owned by jetson-video-capability; it must be authenticated, bound to that exact environment, and fail closed as unknown or an input error on any mismatch. A capability report alone does not establish selected-surface readiness or selected-GPU identity. Treat artifacts as data; do not import sibling skill code. A compatible result still does not prove an encode operation. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/jetson-video-recipe