cupynumeric-migration-readiness
cupynumeric-migration-readiness is an agent skill published by nvidia, listed under writing code. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
Assesses the readiness for porting NumPy code to cuPyNumeric by evaluating code scalability, necessary refactorings, and transferability of NumPy patterns. Requires the user's source code and access to the cuPyNumeric API support manifest.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
Maintenance
Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
cupynumeric-migration-readiness compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| cupynumeric-migration-readiness (this page) | nvidia | Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins… | 3,735 | 2026-10-26 |
| cudaq-importing(same repository) | nvidia | Use when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the sourc… | 3,735 | 2026-10-26 |
| cuopt-numerical-optimization-api(same repository) | nvidia | LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with an… | 3,735 | 2026-10-26 |
| cuopt-routing-api-python(same repository) | nvidia | Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routin… | 3,735 | 2026-10-26 |
| cupynumeric-install(same repository) | nvidia | Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of sc… | 3,735 | 2026-10-26 |
| doca-common(same repository) | nvidia | Use this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and ne… | 3,735 | 2026-10-26 |
| doca-programming-guide(same repository) | nvidia | Use this skill when the user is writing their first DOCA app or asking a library-agnostic programming questio… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about cupynumeric-migration-readiness
- What does cupynumeric-migration-readiness do?
- Assesses the readiness for porting NumPy code to cuPyNumeric by evaluating code scalability, necessary refactorings, and transferability of NumPy patterns. Requires the user's source code and access to the cuPyNumeric API support manifest.
- How do I install cupynumeric-migration-readiness?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes cupynumeric-migration-readiness?
- nvidia.
- Is cupynumeric-migration-readiness maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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