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Find data pipeline and streaming skills v1.0.0

Use this resource to find the data pipeline skill that fits an ETL or streaming flow

New

  • 484 downloads
  • 111 likes
  • 109 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-pipeline-skills-discovery

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 index skill activates on ETL, batch, streaming and schema validation tasks. It lists the nine data skills and loads the ones the current job needs.

Mostly picked by

Updated November 2, 2026

Card for the “Find data pipeline and streaming skills” skill

Details

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

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What you get

  • SKILL.md : list of the nine data skills
  • SKILL.md : common combinations, such as real-time analytics

Good fit for

  • You build an ETL pipeline that must validate its input
  • You want to aggregate events in a continuous stream

Not for

    Tags

    • data
    • etl
    • streaming
    • pipeline

    About

    You say

    “I need to aggregate order events in real time. Which data skills should I use?”

    Card for the “Find data pipeline and streaming skills” skill

    Skill published by rand 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 find the data pipeline skill that fits an ETL or streaming flow
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.7 KB

    Origin and licence

    Listed unmodified

    Author
    rand
    Source
    github.com/rand/cc-polymath/tree/baa2df114416570f5e0e2961143d20e3716a2fc8/skills/discover-data
    Licence
    MIT

    Notice

    « discover-data » (rand, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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