Escreva kernels Metal/MPS para operadores PyTorch. Use ao adicionar suporte ao dispositivo MPS para operadores, implementar shaders Metal ou portar kernels CUDA para Apple Silicon. Abrange despacho native_functions.yaml, operadores do lado do host e implementação de kernel Metal.
Este skill permite que você escreva kernels Metal/MPS para operadores PyTorch, facilitando a adição de suporte ao dispositivo MPS em operadores existentes, a implementação de shaders Metal e a portabilidade de kernels CUDA para Apple Silicon. É particularmente útil para desenvolvedores que trabalham com PyTorch em hardware Apple Silicon, garantindo que operações personalizadas possam ser executadas de forma eficiente no backend MPS. O skill cobre todo o fluxo de trabalho, desde o despacho via `native_functions.yaml`, passando pela implementação de operadores no lado do host, até a criação de kernels Metal shader. Ao fornecer orientação sobre a estrutura de arquivos, convenções de código e melhores práticas, o skill acelera o desenvolvimento e a otimização de operadores MPS, reduzindo a complexidade de integrar código específico de hardware com o ecossistema PyTorch.
npx skills add https://github.com/pytorch/pytorch/tree/main/skills/metal-kernelInstalled? Explore more Programação e Desenvolvimento skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
Escreva kernels Metal/MPS para operadores PyTorch. Use ao adicionar suporte ao dispositivo MPS para operadores, implementar shaders Metal ou portar kernels CUDA para Apple Silicon. Abrange despacho native_functions.yaml, operadores do lado do host e implementação de kernel Metal.
This repo contains 8 individual skills — each has its own dedicated page.
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
Debug AOTInductor (AOTI) errors and crashes. Use when encountering AOTI segfaults, device mismatch errors, constant loading failures, or runtime errors from aot_compile, aot_load, aoti_compile_and_package, or aoti_load_package.
Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility. Use when reviewing PRs, when asked to review code changes, or when the user mentions "review PR", "code review", or "check this PR".
Migrate a file to use stricter Pyrefly type checking with annotations required for all functions, classes, and attributes.
Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.
Triages GitHub issues by routing to oncall teams, applying labels, and closing questions. Use when processing new PyTorch issues or when asked to triage an issue.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.