add-cpu-op

Add a new operation to the OpenVINO CPU plugin — node registration, JIT/oneDNN executors (AVX2/AVX-512/AMX), and functional tests.

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Repository: openvinotoolkit/openvino
Last source activity: June 30, 2026 at 10:34
Detected SKILL.md language: English
Stars: 10,673
Forks: 3,321

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ov-update-pytorch-version

Upgrade the PyTorch version used by OpenVINO tests (torch / torchvision / torchaudio) and resolve fallout — missing operator translators, new functionalized `*_copy` aten ops, decomposition changes, FX-only tests failing in TorchScript mode, and accuracy regressions caused by stricter typing. Use when the user asks to "bump torch", "update pytorch to X.Y", "upgrade torch tests", or when pytorch_tests / model_hub pytorch tests fail after a torch version change. Do not use for: enabling a single new PyTorch operator unrelated to a version bump, GenAI / Optimum upgrades, or plugin-level numerical bugs unrelated to the frontend.

2026-08-14

ov-agentic-workflows

Author, edit, compile, validate, and debug any OpenVINO gh-aw agentic workflow (e.g. ci-doctor, ci-doctor-mq, and any future ones) and their shared safe-output jobs under .github/workflows/shared/agentic-workflows. Use when a user wants to create a new agentic workflow; change an existing one's prompt, triggers, tools, permissions, or safe-outputs; add or edit a shared job/step; recompile a .lock.yml; update a workflow's persisted-state JSON schemas; or test a workflow via workflow_dispatch. Do NOT use for regular (non-agentic) GitHub Actions workflows, plugin/runtime code, or diagnosing a specific live CI failure.

2026-08-12

ov-transformation-tests

Write unit tests for OpenVINO ov::Model graph transformations (passes). Use when the user asks to write, add, or refactor tests for a transformation pass (MatcherPass, ModelPass), or to modernize legacy transformation tests.

2026-07-03

View all from this repository

Step	File	Purpose
1	step1-analysis.md	Read op spec, determine implementation strategy (reference / JIT / oneDNN), identify ISA targets and precision requirements
2	step2-implementation.md	Create node class (header + source), register in factory, hook up shape inference
3	step3-optimization.md	Write JIT executor (AVX2/AVX-512/AMX) or oneDNN-backed path; CpuParallel integration
4	step4-testing.md	Shared single-layer tests, custom CPU tests, dynamic shapes

Step	File	Purpose
1	step1-analysis.md	Read op spec, determine implementation strategy (reference / JIT / oneDNN), identify ISA targets and precision requirements
2	step2-implementation.md	Create node class (header + source), register in factory, hook up shape inference
3	step3-optimization.md	Write JIT executor (AVX2/AVX-512/AMX) or oneDNN-backed path; CpuParallel integration
4	step4-testing.md	Shared single-layer tests, custom CPU tests, dynamic shapes

add-cpu-op

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Skill: Add CPU Op

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Skill: Add CPU Op

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name	add-cpu-op
description	Add a new operation to the OpenVINO CPU plugin — node registration, JIT/oneDNN executors (AVX2/AVX-512/AMX), and functional tests.

add-cpu-op

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Skill: Add CPU Op

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Skill: Add CPU Op

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