Agent skill · NVIDIA
physical-ai-video-data-augmentation
Use when running video data augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: video data augmentation, data enrichment, auto labeling, VDA demo, OSMO workflow, pseudo labeling.
What it needs
About 9k tokens when loaded.
What this skill does
Physical AI Video Data Augmentation Workflow Orchestrator Default workflow skill for VDA execution on OSMO. It owns flow selection, preflight, cache readiness, inference-path decisions, submit-time interpolation, monitoring, and output retrieval. Component skills are consult-only. Purpose Run the end-to-end VDA workflow safely and reproducibly from preflight to output download. Do NOT use this skill for container-internal tuning-only questions. Prerequisites Confirm these before running preflight or any submit. Missing required secrets surface as USERINPUTREQUIRED: from scripts/preflightcredentials.sh. Requirement How it is satisfied Used for --- --- --- NGC API key (optional) NGCAPIKEY, NGCCLIAPIKEY, or compatible nvapi- token in NVIDIAAPIKEY/OPENAIAPIKEY/VLMAPIKEY/LLMAPIKEY Optional for nvcrio credential refresh and NGC REST scope probe; default VDA image refs are validated via workflow registry probes Hugging Face token HFTOKEN (or HUGGINGFACEHUBTOKEN), or a cached token at ~/.cache/huggingface/token Creates the OSMO hftoken credential; pulls gated Cosmos/SeedVR weights OSMO CLI access osmo on PATH, logged in, with a default profile and a registered DATA credential profile matching storageurl Submitting/monitoring workflows and listing/downloading objects GPU pool At least one ONLINE pool in osmo pool list --mode free; PODTEMPLATE carries GPU toleration/selectors Scheduling setup + worker tasks Optional (only for the strict NGC org/team probe): NGCORG + NGCTEAM (or NGCCLIORG / NGCCLITEAM). External VLM/LLM endpoint keys are validated separately, not by preflight. Key handling rule: nvapi- tokens are first-class inputs for nvcrio. Never reject by token prefix alone; use workflow registry probe results as source of truth. Instructions 1. Select the workflow (autolabeling, augmentationandal, e2e, e2esuperresolution) from user intent. 2. Provide a tentative execution-time overview before starting run actions. 3. Run preflight and readiness checks before submit. 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/physical-ai-video-data-augmentation