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Foundry Python transform and checks v1.0.0

Use this resource to design and validate a Python transform pipeline in Foundry

New

  • 571 downloads
  • 176 likes
  • 146 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install foundry-python-transform-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 makes the input and output datasets explicit, chooses the simplest compute engine that fits the volume, then sets the checks and incremental logic. You get a transform ready for review before a production build.

Mostly picked by

Updated November 2, 2026

Card for the “Foundry Python transform and checks” skill

Details

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

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What you get

  • SKILL.md : pipeline scoping, compute engine and checks
  • references/official-docs.md : Foundry documentation to verify before each build

Good fit for

  • You build a batch pipeline and do not know which engine to choose
  • An existing pipeline creates duplicates on every run

Not for

    Tags

    • palantir
    • foundry
    • pipeline
    • python
    • data

    About

    You say

    “Design the Foundry transform that joins orders and customers incrementally, with key checks.”

    Card for the “Foundry Python transform and checks” 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 design and validate a Python transform pipeline in Foundry
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/official-docs.md1 KB
    • SKILL.md5.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/palantir-core-workflow-a
    Licence
    MIT

    Notice

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

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