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Optimizing attention with Flash Attention v1.0.0

Use this resource to optimize transformer attention on long sequences

New

  • 423 downloads
  • 170 likes
  • 166 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install flash-attention-optimization

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent helps you turn on Flash Attention in an existing PyTorch model, through native SDPA or the flash-attn library. You get the modified code, speed and memory benchmarks, and a check that outputs stay the same.

Mostly picked by

Updated November 2, 2026

Card for the “Optimizing attention with Flash Attention” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: quick start and activation workflow
  • references/benchmarks.md: speed and memory benchmarks
  • references/transformers-integration.md: integration with Transformers models

Good fit for

  • Your model runs out of GPU memory on sequences longer than 512 tokens
  • You want faster inference for a PyTorch transformer

Not for

    Tags

    • flash attention
    • transformers
    • pytorch
    • gpu

    About

    You say

    “Turn on Flash Attention in my PyTorch model and check that the outputs don't change.”

    Card for the “Optimizing attention with Flash Attention” skill

    Skill published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to optimize transformer attention on long sequences
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/benchmarks.md7.2 KB
    • references/transformers-integration.md7.5 KB
    • SKILL.md10.3 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/optimization-flash-attention
    Licence
    MIT

    Notice

    « optimization-flash-attention » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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