Agent skill · nvidia
cdf-video-data-augmentation
Run the CDF Video Data Augmentation Airflow workflow on Kubernetes or OSMO to create Cosmos video-to-video variants and auto-label both source and generated videos. Use for VDA payload authoring, preflight, execution, monitoring, output verification, or result retrieval. OSMO requires external endpoints. Standalone augmentation or auto-labeling configuration belongs to the respective component skill. Not for retrieval-driven CDF pipelines or image-to-video event generation.
What it needs
About 9k tokens when loaded.
What this skill does
Run CDF Video Data Augmentation Run the existing Video Data Augmentation workflow end to end. Read the getting-started guide and payload guide before authoring a payload. Treat the checked-in DAG, payload model, and platform manifest as the source of truth if the docs and implementation differ. Use the bundled references progressively: Read setup-and-preflight.md when preparing input or checking a controller/compute environment. Read payload-contract.md before rendering or changing a payload. Read airflow-direct-api.md before triggering or monitoring a run through the API. Read outputs.md before downloading or interpreting artifacts. Read troubleshooting.md when a check or run fails, or when the user asks to stop a run. The workflow prepares source videos, runs the full auto-labeling and training-export chain on the source branch, generates Cosmos Transfer variants, runs the same chain on passing generated videos, validates storage outputs, and shuts down run-owned services. It does not produce one combined final dataset manifest. Component details Distinguish the configuration layers before authoring a payload: Requested work Route to --- --- Augmentation container input/config YAML, model parameters, distributions, or evaluator settings cdf-augmentation Auto-labeling container input/config, stage options, prompts, or question banks cdf-auto-labeling Existing VDA DagRun conf.payload, mapping supported component options into it, triggering, monitoring, or results This skill and its workflow references Kubernetes/Airflow controller setup, environment audit, connections, or deployment readiness cdf-orchestration-setup A requested new Kubernetes DAG with added, removed, or reordered stages that no existing DAG covers; or DAG parity review against a specification cdf-orchestration-write-dag Consult the component skill before authoring or changing its container configuration, even when that configuration is used inside a full VDA run. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/cdf-video-data-augmentation