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Harvard Art Museums data pipeline v1.0.0

Use this resource to build an end-to-end data pipeline with the Harvard Art Museums API

New

  • 401 downloads
  • 220 likes
  • 193 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install harvard-museums-data-streamlit

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 fetches data from the API, applies the ETL transformations and loads SQL tables. It then runs the analyses and the Streamlit app. You get a documented pipeline with its visualizations.

Mostly picked by

Updated November 2, 2026

Card for the “Harvard Art Museums data pipeline” skill

Details

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

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What you get

  • SKILL.md: API and database installation and configuration
  • SKILL.md: database setup and app launch

Good fit for

  • You build a pipeline example for your portfolio
  • You want to connect a public API to a SQL database

Not for

    Tags

    • pipeline
    • api
    • sql
    • streamlit

    About

    You say

    “Run the full pipeline and check that the database contains the artifact tables.”

    Card for the “Harvard Art Museums data pipeline” skill

    Skill published by reason-machines 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 build an end-to-end data pipeline with the Harvard Art Museums API
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE0 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md16.5 KB

    Origin and licence

    Listed unmodified

    Author
    reason-machines
    Source
    github.com/reason-machines/data-skills/tree/25d6ee79eea935ef4be1ee375a5777b2ad259f0a/skills/harvard-art-museums-data-pipeline
    Licence
    MIT

    Notice

    « harvard-art-museums-data-pipeline » (reason-machines, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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