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Luigi task creation v1.0.0

Use this resource to write Luigi tasks for a data pipeline

New

  • 551 downloads
  • 184 likes
  • 122 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install luigi-pipeline-tasks

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

This skill activates on Luigi task requests and guides the agent step by step, with examples and error-handling rules. Its page does not describe specific dependencies, so check them against your existing pipeline.

Mostly picked by

Updated November 2, 2026

Card for the “Luigi task creation” skill

Details

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

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What you get

  • SKILL.md: task creation steps and prerequisites
  • SKILL.md: examples and error handling

Good fit for

  • Your pipeline chains several dependent steps
  • You want to rerun only the steps that failed

Not for

    Tags

    • luigi
    • tasks
    • orchestration
    • python

    About

    You say

    “Write a Luigi task that loads the daily file and then transforms it.”

    Card for the “Luigi task creation” 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 write Luigi tasks for a data pipeline
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 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/11-data-pipelines/luigi-task-generator
    Licence
    MIT

    Notice

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

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