Agent skill · nvidia

cdf-curation-and-retrieval

NVIDIA CDF curation and retrieval. Cosmos Curator video and image pipelines (split, dedup, shard, annotate) with filtering, captioning, and embedding. Cosmos Dataset Search ingest, search, and capability qualification. TAO data mining embeddings and neighbor matching. Ships domain event catalogs, including workplace employee conduct monitoring, which requires legal review before use. Use when a request names Cosmos Curator, Cosmos Dataset Search, CDF, or their Make and CLI surfaces. Not for model training, orchestration, or unrelated dataset questions.

What it needs

About 9k tokens when loaded.

What this skill does

CDF Curator Operator Skill GPU-accelerated video and image curation via NVIDIA Cosmos Curator inside Cosmos Data Factory — Curation and Retrieval (cdf-curation-and-retrieval). This skill is a short Curator index. Embedding handoff boundaries live in data-mining.md and curation-retrieval-workflow.md; mining execution is make help and the repository cookbooks. Video: split, dedup, shard. Image: annotate (load → filter → embed → caption → write). Handoff: Curator IV2 or CE1 parquet that downstream mining can consume. See data-mining.md and curation-retrieval-workflow.md. CDS stitch: Curator → CDS ingest/search. Operator Path D (public GA 1.2.0; not supported on Blackwell GPUs): see cosmos-dataset-search.md. Purpose Turn raw video and image collections into curated, training-ready datasets. This skill configures and runs cosmos-curator pipelines (clip splitting, filtering, captioning, embeddings, SAM3 event verification, dedup, WebDataset sharding, image annotate) and supports KPI-driven, distribution-aware, and restrictive curation. Instructions 1. Classify the request as advisory, config, run, TAO handoff, or CDS ingest/search. Do not mix those routes. A config request with no KPI output or samples goes through the calibration interview, which can stop with unresolved requirements before any YAML is written. 2. For config work, complete the mandatory pre-flight below before writing YAML. 3. For an explicit run, load running-pipelines.md, validate the config, obtain credentials only through approved injection, then execute after authorization. 4. For a TAO handoff, validate Curator output and the declared embedding family using data-mining.md before mining. 5. For CDS ingest or search, confirm CDS is healthy first, then follow cosmos-dataset-search.md. 6. Return the Output Format below. Never print secret values. Examples Advisory: "How much SHM should I set?" → read running-pipelines.md and report guidance. Do not run Docker. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills nvidia/cdf-curation-and-retrieval

View the source on GitHub

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