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Designing neural network architectures v1.0.0

Use this resource to design, modify and configure a neural network architecture

New

  • 471 downloads
  • 241 likes
  • 217 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install neural-network-architecture-builder

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 analyzes the need (classification, generation, sequences), proposes an architecture and sets the layers and training parameters. You get a model configuration ready to use, with image classification and text generation examples.

Mostly picked by

Updated November 2, 2026

Card for the “Designing neural network architectures” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: requirement analysis, examples and best practices
  • assets/, references/, scripts/: supporting files described in their READMEs

Good fit for

  • You need to build an image classification model
  • You want to modify an existing architecture

Not for

    Tags

    • neural network
    • learning
    • architecture
    • model

    About

    You say

    “Design a neural network that sorts product photos into five categories.”

    Card for the “Designing neural network architectures” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 design, modify and configure a neural network architecture
    3. Review and adjust the result

    Content preview

    Files

    • assets/README.md0.4 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/README.md0.1 KB
    • scripts/README.md0.5 KB
    • SKILL.md4.1 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/building-neural-networks
    Licence
    MIT

    Notice

    « building-neural-networks » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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