cudf-analytics
Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.
Install
git clone https://github.com/langchain-ai/deepagents /tmp/deepagents && ln -s /tmp/deepagents/examples/nvidia_deep_agent/skills/cudf-analytics ~/.claude/skills/cudf-analyticsFrom README
cuDF Analytics Skill GPU-accelerated data analysis using NVIDIA RAPIDS cuDF. cuDF provides a pandas-like API that runs on NVIDIA GPUs, enabling massive speedups on large datasets. When to Use This Skill Use this skill when: Analyzing CSV files, datasets, or tabular data Computing statistical summaries (mean, median, std, quartiles) Performing groupby aggregations Detecting anomalies or outliers in data Profiling datasets with millions of rows Computing correlation matrices Initialization (REQUIRED) Always start every script with this boilerplate. It tests actual GPU operations, not just import. Quick Reference cuDF mirrors the pandas API.
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