Agent skill · nvidia
cdf-event-video-generation
Run the CDF Orchestration Event Video Generation DAG on Kubernetes or OSMO - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation, image-to-video synthesis, Cosmos3 image2video, anomaly dataset creation, safety/surveillance SDG, or generating person-falling, person-climbing, person-running, fighting, smoking/vaping, fire/smoke, or shoplifting video clips from a seed image. Covers both event_video_generation_dag_k8s and the external-endpoints-only event_video_generation_dag_osmo. Runs environment setup first when controller readiness is unknown. Not for person-crop clothing/attribute augmentation (that is cdf-image-attribute-augmentation) and not for video style transfer.
What it needs
About 10k tokens when loaded.
What this skill does
CDF Orchestration — Event Video Generation Run the Event Video Generation DAG end to end: seed-image input preparation, Cosmos3 image-to-video anomaly augmentation, auto-labeling (detection and tracking, captioning, anomaly visual QA, person-attribute visual QA, person attribute search), anomaly dataset generation, and result retrieval. Component details This workflow skill and its references are the primary guide for configuring and running the workflow. Consult a component skill only when the requested configuration or diagnosis requires component-specific details not covered here. Routine payload authoring with documented fields, preflight, triggering, monitoring, and result retrieval do not require component skill access. When additional component guidance is needed, consult that component's documentation, and do not invent keys or values. The links below are pinned to the latest main commit of each component repository as of 2026-10-20; a component skill installed separately may describe a different version. Component Covers Documentation at that commit --- --- --- cdf-augmentation Image-to-video configuration, generation prompts, model parameters, evaluators, and augmentation errors [cdf-augmentation skill][augmentation-skill] cdf-auto-labeling Detection/tracking, captioning, visual QA, question banks, attribute-search configuration, and auto-labeling errors [cdf-auto-labeling skill][auto-labeling-skill] [augmentation-skill]: https://github.com/NVIDIA/cdf-augmentation/tree/73c861c43a4952b6060c87265bf39f4abc48199a/skills/cdf-augmentation [auto-labeling-skill]: https://github.com/NVIDIA/cdf-auto-labeling/tree/6c75c76c52a6c76c3866a38d30885e11123b0981/skills/cdf-auto-labeling Use only documentation at these commits; do not substitute a moving branch or another version. If the repository is inaccessible, continue tasks supported by this workflow's guidance. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/cdf-event-video-generation