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O SkillsMP coletou 7 skills de meta-pytorch/torchrec. Abra uma skill para revisar a origem e os detalhes.
Mostrando 7 de 7 skills coletadas.
Generate tests for TorchRec source files with correct patterns (unit, distributed, hypothesis), proper BUCK targets, and test utilities. Use when asked to generate tests, add test coverage, or write tests for a module.
Idioma do texto original: inglês
Review TorchRec pull requests and diffs for distributed correctness, sharding safety, backward compatibility, and test coverage. Use when reviewing PRs, diffs, or when asked to review code changes.
Idioma do texto original: inglês
Investigate and explain TorchRec planner sharding statistics output, especially how HBM storage is computed per table and per rank. Use when the user asks about sharding stats, storage breakdown, or memory estimation.
Idioma do texto original: inglês
Write docstrings for TorchRec functions and methods following PyTorch conventions. Use when writing or updating docstrings in TorchRec code.
Idioma do texto original: inglês
Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill for TorchRec, or needs help with SKILL.md files.
Idioma do texto original: inglês
Interview user in-depth to create a detailed spec with strict implementation details and tradeoff analysis
Idioma do texto original: inglês
Find and remove tech debt (redundant/duplicated code), run linters, and ensure code quality in recent changes
Idioma do texto original: inglês