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Recommendation engine v1.0.0

Use this resource to build a recommendation engine with collaborative filtering, factorization or a hybrid approach

New

  • 380 downloads
  • 113 likes
  • 213 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install recommendation-engine-collaborative

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 builds the user-item matrix, trains a collaborative filtering or factorization model, then generates recommendations scored with metrics. You get a baseline engine and leads for the cold-start problem.

Mostly picked by

Updated November 2, 2026

Card for the “Recommendation engine” skill

Details

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

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What you get

  • SKILL.md : collaborative filtering, SVD factorization and hybrid approach
  • references/ : cold-start strategies and evaluation metrics

Good fit for

  • Your store wants to suggest products based on past purchases
  • New users or products get empty recommendations

Not for

    Tags

    • recommendation
    • collaborative filtering
    • svd
    • personalization

    About

    You say

    “Build a recommendation engine for my catalog from purchase history.”

    Card for the “Recommendation engine” skill

    Skill published by secondsky 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 build a recommendation engine with collaborative filtering, factorization or a hybrid approach
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/cold-start-strategies.md19.6 KB
    • references/collaborative-filtering-deep-dive.md15.9 KB
    • references/evaluation-metrics-implementation.md17.6 KB
    • references/matrix-factorization-methods.md17.9 KB
    • SKILL.md11.4 KB

    Origin and licence

    Listed unmodified

    Author
    secondsky
    Source
    github.com/secondsky/claude-skills/tree/88378361314f558fb719aec0af9fd898ab36f0b2/plugins/recommendation-engine/skills/recommendation-engine
    Licence
    MIT

    Notice

    « recommendation-engine » (secondsky, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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