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ML inference optimization v1.0.0

Use this resource to speed up the inference of a machine learning model

New

  • 320 downloads
  • 108 likes
  • 197 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ml-inference-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 first sets a performance baseline, then proposes exports, compilation, quantization and Triton or batching settings. You get PyTorch to ONNX export patterns, a config.pbtxt setup and benchmark guidance.

Mostly picked by

Updated November 2, 2026

Card for the “ML inference optimization” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: benchmarking method and bottlenecks
  • SKILL.md: ONNX export, torch.compile and quantization
  • SKILL.md: Triton configuration, dynamic batching and GPU instances

Good fit for

  • Your model responds too slowly in production
  • Your inference GPU costs exceed the budget

Not for

    Tags

    • inference
    • onnx
    • quantization
    • triton

    About

    You say

    “Export my PyTorch model to ONNX and measure p95 latency before and after INT8 quantization.”

    Card for the “ML inference optimization” skill

    Skill published by josiahsiegel 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 speed up the inference of a machine learning model
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md9.1 KB

    Origin and licence

    Listed unmodified

    Author
    josiahsiegel
    Source
    github.com/josiahsiegel/claude-plugin-marketplace/tree/5a1b1123b9e50aa9a66a61005ca6fe012cc7442d/plugins/ml-master/skills/ml-inference-optimization
    Licence
    MIT

    Notice

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

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