data-processing-nemo-curator — Claude Code skill: what it does
Instructs Claude Code on creating data preparation pipelines for neural network training using NVIDIA NeMo Curator on GPUs.
npx claude-code-templates@latest --skill ai-research/data-processing-nemo-curatorWhat data-processing-nemo-curator does
The skill helps Claude Code generate curation workflows for machine learning datasets. It covers text, audio, images, and video. You get ready patterns for exact deduplication, MinHash LSH fuzzy matching, and vector comparison. NVIDIA benchmarks show GPU fuzzy deduplication running 16 times faster than CPU processing.
Pipelines rely on rapids, cudf, and dask to distribute execution across GPU nodes. Running these scripts requires NVIDIA hardware with CUDA 12 support. The skill guides you through masking personal data like names and phone numbers, running 30 heuristic checks, or scoring texts with DeBERTa classifiers.
Multimodal handling is built into the workflow. The generated scripts can detect video scenes, compute audio word error rates, or discard unsuitable images based on aesthetic scores.
What it helps with
- remove duplicate documents using GPU MinHash algorithms
- mask personal identities, phone numbers, and emails
- filter audio recordings by speech recognition error rates
- detect scene transitions and extract video segments
- scale batch preprocessing across multiple graphics cards
Example prompts for the agent
- Build a NeMo Curator pipeline to run fuzzy deduplication on a parquet dataset
- Add PII redaction and line repetition filters to the text processing script
- Create an image curation workflow that discards NSFW files and scores aesthetics
How to install data-processing-nemo-curator
1claude-code-templates
npx claude-code-templates@latest --skill ai-research/data-processing-nemo-curator2Skills CLI (Vercel)
npx skills add davila7/claude-code-templates --skill data-processing-nemo-curator -a claude-code3Manually: put the files in place
~/.claude/skills/data-processing-nemo-curator/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/data-processing-nemo-curator/
Manually: put the files in place
.agents/skills/data-processing-nemo-curator/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/data-processing-nemo-curator/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install davila7/claude-code-templates data-processing-nemo-curator2Manually: put the files in place
.github/skills/data-processing-nemo-curator/SKILL.mdPlatform CLI
gemini skills install https://github.com/davila7/claude-code-templates --path cli-tool/components/skills/ai-research/data-processing-nemo-curatorManually: put the files in place
.devin/skills/data-processing-nemo-curator/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about data-processing-nemo-curator
How to install data-processing-nemo-curator in Claude Code?
Run npx claude-code-templates@latest --skill ai-research/data-processing-nemo-curator in your terminal. This registers the curation template for your agent.
What does data-processing-nemo-curator do?
It provides prompts and pipeline code for NVIDIA NeMo Curator. Claude Code uses it to write scripts for data cleaning, deduplication, and quality scoring.
What software dependencies are needed to run the scripts?
The resulting workflows require nemo-curator, cudf, dask, and rapids installed in a Python environment with CUDA 12.