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meta-pytorch/torchrec

SkillsMP 已收集 meta-pytorch/torchrec 中的 7 个 Skill。打开任一 Skill 可查看来源和详情。

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已展示 7 / 7 个已收集 Skill。

职业分类
软件质量保证分析师与测试员
描述

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.

原文语言:英语

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职业分类
软件质量保证分析师与测试员
描述

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.

原文语言:英语

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职业分类
软件开发工程师
描述

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.

原文语言:英语

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职业分类
软件开发工程师
描述

Write docstrings for TorchRec functions and methods following PyTorch conventions. Use when writing or updating docstrings in TorchRec code.

原文语言:英语

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职业分类
其他计算机职业
描述

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.

原文语言:英语

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职业分类
软件开发工程师
描述

Interview user in-depth to create a detailed spec with strict implementation details and tradeoff analysis

原文语言:英语

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职业分类
软件开发工程师
描述

Find and remove tech debt (redundant/duplicated code), run linters, and ensure code quality in recent changes

原文语言:英语

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已展示 7 / 7 个已收集 Skill。