Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
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Use this Skill: https://skilld.dev/gh/nvidia/skills/accelerated-computing-cudf
This session only. Nothing lands on disk.
≈85 tokens on demand. Your agent reads this file only when SKILL.md points to it.
This task is source-inspired by cuDF null-handling tests.
Source: SKILL.md on GitHub
The skill provides official NVIDIA-authored guidance and templates for GPU-accelerated data processing using cuDF and dask-cuDF. The analysis found no security risks, only standard developer workflows and data science patterns.
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Risk: MEDIUM · 1 issue
Signed by skilld at 2cd3507. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub yesterday.
{
"author": "NVIDIA",
"tags": [
"cudf",
"dataframes",
"pandas",
"dask-cudf",
"etl"
]
}