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Batch inference pipeline v1.0.0

Use this resource to run model inference on a large volume of data

New

  • 520 downloads
  • 122 likes
  • 129 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install batch-inference-pipeline

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 organizes data reads, batched predictions and result writes, with recovery after failure. You get an inference pipeline and its run log.

Mostly picked by

Updated November 2, 2026

Card for the “Batch inference pipeline” skill

Details

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

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What you get

  • SKILL.md: pipeline design steps and good practices
  • SKILL.md: code examples, prerequisites and error handling

Good fit for

  • You must score tens of millions of rows every night
  • Your predictions do not need real-time responses

Not for

    Tags

    • inference
    • batch processing
    • predictions
    • pipeline

    About

    You say

    “Create a pipeline that scores our customer table every night and writes the results to a table.”

    Card for the “Batch inference pipeline” 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 run model inference on a large volume of data
    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/batch-inference-pipeline
    Licence
    MIT

    Notice

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

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