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cupynumeric-migration-readiness

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Pre-migration readiness for cuPyNumeric porting.

Software Engineering#migration#gpu#numpy#distributed-computing#pre-migration#cupynumeric#legate
Authorsayalinvidia
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Pre-migration readiness assessor that reads NumPy source code, cross-references the cuPyNumeric API manifest, and outputs a structured scaling verdict with per-finding pointers and concrete refactor recipes.

Core Features & Use Cases

  • Static analysis against the cuPyNumeric API support manifest to identify scalable idioms and blockers.
  • Produces a verdict with actionable refactor pointers (READY / LIGHT REFACTOR / SIGNIFICANT REFACTOR / NOT RECOMMENDED) and a plan to migrate.
  • Works across common CPU/GPU patterns (stencils, linear algebra, reductions, RNG, and boundary-work from SciPy).

Quick Start

Run this skill on your Python codebase to determine its cuPyNumeric migration readiness with a detailed, recipe-driven verdict.

Dependency Matrix

Required Modules

None required

Components

assetsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: cupynumeric-migration-readiness
Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#cupynumeric-migration-readiness

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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