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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.

Install

npx skills add Orchestra-Research/AI-Research-SKILLs --skill optimizing-attention-flash -a claude-code

Installs to .claude/skills/optimizing-attention-flash/ · Each command fetches the skill straight from GitHub with the open skills CLI.

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Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

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Provenance90
Maintenance100
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