Agrega soporte para tipos enteros sin signo (uint) a operadores de PyTorch actualizando las macros AT_DISPATCH. Útil cuando se necesita habilitar los tipos uint16, uint32, uint64 en operadores, kernels, o cuando el usuario menciona la activación de tipos sin signo.
Esta habilidad permite agregar soporte para tipos enteros sin signo (uint16, uint32, uint64) en operadores y kernels de PyTorch mediante la actualización de las macros AT_DISPATCH. Es especialmente útil para desarrolladores que trabajan en el núcleo de PyTorch y necesitan extender la funcionalidad existente a tipos uint, ya sea para nuevos operadores, kernels personalizados o para habilitar soporte básico de tipos sin signo. La habilidad automatiza la modificación de las macros de despacho, reduciendo errores manuales y acelerando el proceso de integración. Está diseñada para plataformas como Claude Code, Cursor o Codex, y se activa cuando el usuario menciona términos como 'unsigned types', 'barebones unsigned types' o 'uint support'.
npx skills add https://github.com/pytorch/pytorch/tree/main/skills/add-uint-supportInstalled? Explore more Programación y desarrollo skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
Agrega soporte para tipos enteros sin signo (uint) a operadores de PyTorch actualizando las macros AT_DISPATCH. Útil cuando se necesita habilitar los tipos uint16, uint32, uint64 en operadores, kernels, o cuando el usuario menciona la activación de tipos sin signo, tipos sin signo básicos o soporte para uint.
This repo contains 8 individual skills — each has its own dedicated page.
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.
Write Metal/MPS kernels for PyTorch operators. Use when adding MPS device support to operators, implementing Metal shaders, or porting CUDA kernels to Apple Silicon. Covers native_functions.yaml dispatch, host-side operators, and Metal kernel implementation.
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.