From omer-metin-skills-for-antigravity-2
Covers self-attention, multi-head attention, RoPE, ALiBi, and transformer architecture variants for implementation and inference optimization.
How this skill is triggered — by the user, by Claude, or both
Slash command
/omer-metin-skills-for-antigravity-2:transformer-architectureThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.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.
npx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin omer-metin-skills-for-antigravity-2Skill for understanding and implementing LLM internals concepts from tokenization to attention mechanisms to inference optimization.
Provides access to pre-trained transformer models for NLP, vision, audio, and multimodal tasks. Supports inference, fine-tuning, and tasks like text generation, classification, question answering.
Provides access to pre-trained transformer models for NLP, vision, audio, and multimodal tasks. Supports inference, fine-tuning, and tasks like text generation, classification, question answering.