optimizing-attention-flash
"Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention."
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Installation for Agentic Skill
View all platforms →skilz install zechenzhangAGI/AI-research-SKILLs/optimizing-attention-flash skilz install zechenzhangAGI/AI-research-SKILLs/optimizing-attention-flash --agent opencode skilz install zechenzhangAGI/AI-research-SKILLs/optimizing-attention-flash --agent codex skilz install zechenzhangAGI/AI-research-SKILLs/optimizing-attention-flash --agent gemini
First time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/zechenzhangAGI/AI-research-SKILLs cp -r AI-research-SKILLs/10-optimization/flash-attention ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- zechenzhangAGI (GitHub)
- Repository
- AI-research-SKILLs
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 26.2
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