cuDF GPU DataFrames

cuDF GPU DataFrames is a Data skill for Claude Code, published by NVIDIA in skills.

3K stars345 forkson NVIDIA/skillsAdded 2026/08/17+3% in starsRepository updated 2026/08/17

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Install in seconds

Install cuDF GPU DataFrames

Copy cuDF GPU DataFrames into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/NVIDIA/skills/tree/main/skills/accelerated-computing-cudf ~/.claude/skills/accelerated-computing-cudf

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/NVIDIA/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/accelerated-computing-cudf/SKILL.md in NVIDIA/skills
Installs to: ~/.claude/skills/accelerated-computing-cudf
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What cuDF GPU DataFrames does

cuDF GPU DataFrames accelerates pandas data processing on NVIDIA GPUs for ETL, joins, groupby, and CSV/Parquet I/O. Use it to migrate pandas workloads to GPU or scale to multi-GPU with dask-cuDF.

cuDF GPU DataFrames is cataloged under Data on DirSkills. cuDF GPU DataFrames comes from a repository tagged agent-skills, agentic-ai, ai-agents, claude-code and codex.

Documentation

README

Excerpt

cuDF & dask-cuDF Implementer's Guide

Compatibility

Release tracked by this skill: 26.04.
Requires NVIDIA Volta or newer on CUDA 12, or Turing or newer on CUDA 13. Release 26.04 supports CUDA 12.2-12.9 with driver 535+ or CUDA 13.0-13.1 with driver 580+, and Python 3.11-3.14. cuDF sweet spot: >100K rows.

Naming

Use NVIDIA library-first wording in user-facing answers. Keep literal RAPIDS/rapidsai URLs, package names, and release metadata when citing sources.

Role

This is the opening of the README. Read the full README on GitHub.

Frequently asked about cuDF GPU DataFrames

What else does NVIDIA publish alongside cuDF GPU DataFrames?
cuDF GPU DataFrames is one of 25 skills that DirSkills catalogs from NVIDIA/skills, the repository it ships in. Its siblings there include AIQ Deploy, AIQ Research and AMC RTSP Calibration. Each one is a separate skill with its own page in this directory, installs the same way cuDF GPU DataFrames does, and is maintained by NVIDIA in that same repository. The rest of the collection is listed on the NVIDIA/skills page.
How does cuDF GPU DataFrames compare to other Data skills?
cuDF GPU DataFrames ranks #245 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of cuDF GPU DataFrames against them. Open each page to compare what they document and how they install.