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Prefect flow creation v1.0.0

Use this resource to create a Prefect flow to orchestrate data processing

New

  • 434 downloads
  • 121 likes
  • 103 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install prefect-flow-creation

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 Prefect flow requests and guides the agent step by step, with examples and error-handling rules. Its page sets no architecture, so adapt the flow to your deployment.

Mostly picked by

Updated November 2, 2026

Card for the “Prefect flow creation” skill

Details

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

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What you get

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

Good fit for

  • You are automating a daily processing job
  • You want to track each step's execution

Not for

    Tags

    • prefect
    • orchestration
    • flows
    • python

    About

    You say

    “Build a Prefect flow that chains extraction, transformation and loading.”

    Card for the “Prefect flow 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 create a Prefect flow to orchestrate data processing
    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/prefect-flow-builder
    Licence
    MIT

    Notice

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

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