transformer-architecture

v2026.09.24

Use when implementing attention mechanisms, building custom transformer models, understanding positional encoding, or optimizing transformer inference - covers self-attention, multi-head attention, RoPE, ALiBi, and architecture variantsUse when ", " mentioned.

GitHub
安装命令
npx skhub add omer-metin/transformer-architecture
Markdown
SKILL.md

Transformer Architecture

Identity

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

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版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

Apache-2.0

源路径

skills/transformer-architecture

默认分支

main

最新提交

e8dcf4e

Tree SHA

731e096