dpnp-migration SKILL.md skillA

dpnp-migration from intel/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add intel/skills/dpnp-migration@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
intel/skills
Path
skills/dpnp-migration/SKILL.md
Versions recorded
1
Latest version
v1.0, committed Sep 3, 2026
Size
8,731 bytes
Repository stars
29
License
Apache-2.0

Porting an existing NumPy or CuPy program to dpnp on Intel CPUs and GPUs. Use when deciding whether a codebase can run on dpnp at all, when a call raises NotImplementedError or AttributeError after the import was swapped, when the user asks whether dpnp supports a specific NumPy function or family, or when CuPy code has to move to Intel hardware. Covers probing the installed release for what it actually implements, the families that have no device counterpart, the fallback wrapper for the ones…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# dpnp migration from NumPy and CuPy

## Purpose

Answers one question about an existing program: which of its array calls `dpnp`
implements, and what to do with the rest. Swapping `import numpy as np` for
`import dpnp as np` moves the calls it covers and raises on the calls it does
not, so a port is an inventory problem before it is a performance one.

The method here is to **probe the installed release rather than consult a
coverage list**. A list of supported functions is the single most perishable
claim about `dpnp`: it is accurate for the release someone wrote it against and
silently wrong afterwards, in both directions. `hasattr` is not.

## When to Use This Skill

Use this skill when:

- A NumPy or CuPy codebase has to run on Intel hardware and the question is
  whether it can.
- A call raises `NotImplementedError` or `AttributeError` after the import swap.
- The user asks whether `dpnp` supports a specific function or family.
- CuPy code needs the `dpnp` spelling of device selection or of a host copy.

Do **not** use this skill to diagnose a broken install or a missing SYCL runtime
(`dpnp-troubleshooting`), to hand arrays to pandas, scikit-learn, PyTorch, or
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add intel/skills/dpnp-migration@sha256:2d7d949bf10024a1

The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ljxjatdiwrmtddw7.svg)](https://markdownregistry.com/a/art_ljxjatdiwrmtddw7)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 3, 2026.

versioncommittedcommitsizeaudit
v1.0 latest2026-09-03 b1ad034 8,731 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8731 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

intel/skills · 29 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ljxjatdiwrmtddw7
GET https://markdownregistry.com/api/v1/resolve?ref=intel/skills/dpnp-migration
GET https://markdownregistry.com/api/v1/blob/2d7d949bf10024a16a282d30d99de69a3e10c32e4ffdc8ae126387cccfc80bb9

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

More from intel/skills

ai-inference-deploy SKILL.md skill
intel/skills · skills/ai-inference-deploy/SKILL.md · Top-level router for an Intel GPU inference request that has not settled what it wants yet. Use for the bare ask —…
git:20261101.933b9e9 · audit A · 29 stars
cuda-to-xpu-migration SKILL.md skill
intel/skills · skills/cuda-to-xpu-migration/SKILL.md · Create a CUDA-to-XPU migration assessment for an existing AI repo. Identify CUDA-specific assumptions, route to the…
git:20260903.b1ad034 · audit A · 29 stars
dpnp-interop SKILL.md skill
intel/skills · skills/dpnp-interop/SKILL.md · Passing dpnp arrays to and from other Python libraries on Intel CPUs and GPUs. Use when dpnp numeric work has to feed…
v1.0 · audit A · 29 stars
dpnp-io SKILL.md skill
intel/skills · skills/dpnp-io/SKILL.md · Reading and writing files from dpnp code on Intel CPUs and GPUs. Use when the user needs to load an array into dpnp or…
v1.0 · audit A · 29 stars
dpnp-linalg-fft SKILL.md skill
intel/skills · skills/dpnp-linalg-fft/SKILL.md · Linear algebra and FFT with dpnp on Intel CPUs and GPUs, backed by oneMKL. Use when a matrix multiply, solve…
v1.0 · audit A · 29 stars
dpnp-memory SKILL.md skill
intel/skills · skills/dpnp-memory/SKILL.md · Device memory management for dpnp arrays on Intel CPUs and GPUs. Use when a dpnp script grows in memory until it fails…
v1.0 · audit A · 29 stars
dpnp-quickstart SKILL.md skill
intel/skills · skills/dpnp-quickstart/SKILL.md · NumPy-compatible array operations optimized for Intel hardware. Use when the user wants to migrate or port NumPy code…
v1.0 · audit A · 29 stars
dpnp-random SKILL.md skill
intel/skills · skills/dpnp-random/SKILL.md · Random number generation with dpnp on Intel CPUs and GPUs, backed by oneMKL. Use when NumPy random calls move to dpnp…
v1.0 · audit A · 29 stars
dpnp-troubleshooting SKILL.md skill
intel/skills · skills/dpnp-troubleshooting/SKILL.md · Diagnosing dpnp failures on Intel CPUs and GPUs. Use when dpnp raises NotImplementedError or an unexpected TypeError…
v1.0 · audit A · 29 stars
linux-perf SKILL.md skill
intel/skills · skills/linux-perf/SKILL.md · Profile and fix Linux performance problems using `perf`. Workflows: (A) hardware counters -- IPC, cache-miss, branch…
git:20260903.b1ad034 · audit A · 29 stars
llamacpp-xpu-run SKILL.md skill
intel/skills · skills/llamacpp-xpu-run/SKILL.md · Run a GGUF model on an Intel GPU using llama.cpp's SYCL backend (Level Zero) with the official intel.Dockerfile. Covers…
git:20260903.b1ad034 · audit A · 29 stars
mkl-extension-advisor SKILL.md skill
intel/skills · skills/mkl-extension-advisor/SKILL.md · Deciding whether Intel's MKL extension packages apply to NumPy or SciPy code on Intel CPUs. Use when a user asks…
v1.0 · audit A · 29 stars

Every file in intel/skills

Browse by kind, by grade A, or by owner.