Agent skill · nvidia
paidf-cosmos-predict
Prepare and run PAIDF Cosmos Predict video generation for DEFT media samples.
What it needs
About 10k tokens when loaded.
What this skill does
PAIDF Cosmos Predict Generation Prepare and run PAIDF Cosmos Predict generation for media samples. The skill emits a JSONL handoff that maps each input id to the original media path and generated video path. Purpose Use this skill when a DEFT workflow already has media samples and needs synthetic/generated videos from PAIDF Cosmos Predict. This skill does not start the VLM captioning service. A reachable OpenAI-compatible base URL for the model used to caption input media must be provided at runtime. Prerequisites Docker with NVIDIA GPU support and nvidia-container-toolkit. Access to the PAIDF augmentation image declared by images.metropolissdg.paidfaugmentation in versions.yaml. A running VLM captioning service with an OpenAI-compatible API base URL. The base URL must be provided by the user or upstream workflow at runtime; reuse that exact base URL for every --vlm-captioning-endpoint argument. Do not include /models in VLMCAPTIONINGENDPOINT. HFTOKEN in the run environment when Cosmos model downloads require HuggingFace access — exported, or in a user-approved env file (bare KEY=value lines) that the run block sources. VLMAPIKEY in the run environment the same way when the VLM captioning endpoint requires authentication. Input media paths that are absolute paths on the host under the required media directory. Pass the host media directory with --media-dir; the skill mounts it into the PAIDF container at the exact same path. Inputs Input Required Notes --- --- --- Input JSONL Yes Path to the generic media JSONL. The user or upstream workflow must provide it. Each row must include string fields id and mediapath; id values must be unique. Output directory Yes Host directory for prepared PAIDF config, generated videos, captions, metadata, logs, and final handoff. The user or upstream workflow must provide it. VLM captioning endpoint base URL Yes The user or upstream workflow must provide this OpenAI-compatible base URL, for example a URL ending in /v1. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills nvidia/paidf-cosmos-predict