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Neural pattern training (SONA, MoE, EWC++) v1.0.0

Use this resource to train agent patterns and improve their routing

New

  • 484 downloads
  • 242 likes
  • 177 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install neural-pattern-training

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 retrieves relevant patterns, judges them, extracts lessons and consolidates them to prevent forgetting. You get tracked training status, predictions and optimized agent routing.

Mostly picked by

Updated November 2, 2026

Card for the “Neural pattern training (SONA, MoE, EWC++)” skill

Details

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

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What you get

  • SKILL.md: training, status and pattern-viewing commands
  • SKILL.md: SONA, MoE and EWC++ components
  • SKILL.md: prediction and routing optimization

Good fit for

  • The same routing mistakes keep coming back across sessions
  • You want a swarm to learn from its past successes

Not for

    Tags

    • learning
    • patterns
    • routing
    • agents

    About

    You say

    “Train the patterns from the latest test results and show me the training status.”

    Card for the “Neural pattern training (SONA, MoE, EWC++)” skill

    Skill published by ruvnet 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 train agent patterns and improve their routing
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.8 KB

    Origin and licence

    Listed unmodified

    Author
    ruvnet
    Source
    github.com/ruvnet/ruflo/tree/89b0cd02dd99ea1f63437fde6c05992ec53cc22b/.agents/skills/neural-training
    Licence
    MIT

    Notice

    « neural-training » (ruvnet, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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