Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

Production recommendations v1.0.0

Use this resource to deploy a recommendation API with caching, a feature store and A/B tests

New

  • 434 downloads
  • 194 likes
  • 179 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install recommendation-api-production

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 deploys a recommendation API with Redis, organizes the feature store, sets up A/B tests and monitors quality indicators. You get a personalization service that responds quickly and is monitored.

Mostly picked by

Updated November 2, 2026

Card for the “Production recommendations” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md : starting the API with Redis and the recommendation service
  • references/ : production architecture, caching, A/B testing and monitoring

Good fit for

  • A recommendation engine must answer many visitors quickly
  • You want to compare two algorithms on part of the traffic

Not for

    Tags

    • recommendation
    • production
    • caching
    • ab testing

    About

    You say

    “Put my recommendation engine online with Redis caching and an A/B test on two algorithms.”

    Card for the “Production recommendations” 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 deploy a recommendation API with caching, a feature store and A/B tests
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/ab-testing-framework.md19.8 KB
    • references/caching-strategies.md14.7 KB
    • references/monitoring-alerting.md19.4 KB
    • references/production-architecture.md18.7 KB
    • SKILL.md14.9 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.