What It Does
Cupynumeric Parallel Data Load packages a focused communication workflow for an AI agent. Load a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.
Popular Use Cases
- Draft and organize messages
- Work with communication channels and contacts
- Summarize conversations into next steps
- Automate routine coordination
Install this Agent Skill
Claude Code
npx skills add https://github.com/NVIDIA/skills --skill cupynumeric-parallel-data-loadCommands derived from the public GitHub SKILL.md record. Checked 2026-10-18. Review the source before running them.
Requirements
| Claude Code | Required / review |
| Codex | Required / review |
| Public SKILL.md source | Required / review |
| Review instructions and requested permissions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Why It’s Popular
Cupynumeric Parallel Data Load is a verified Agent Skill from NVIDIA with a public SKILL.md, compatible with Claude Code, Codex.
