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Feature store connection v1.0.0

Use this resource to connect a model to a feature store to read its features

New

  • 406 downloads
  • 147 likes
  • 135 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install feature-store-connector

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 writes the feature store connection and the reads of the features the model uses. You get a connector and consistency checkpoints.

Mostly picked by

Updated November 2, 2026

Card for the “Feature store connection” skill

Details

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

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What you get

  • SKILL.md: connection steps and good practices
  • SKILL.md: code examples and error handling

Good fit for

  • Training and production features do not match
  • Several models reuse the same features

Not for

    Tags

    • feature store
    • features
    • production
    • machine learning

    About

    You say

    “Connect my forecasting model to the feature store and read yesterday's customer features.”

    Card for the “Feature store connection” 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 connect a model to a feature store to read its features
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/08-ml-deployment/feature-store-connector
    Licence
    MIT

    Notice

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

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