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Data strategy review v1.0.0

Use this resource to test a plan touching data, AI or data architecture

New

  • 384 downloads
  • 223 likes
  • 192 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-strategy-review

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 /c-level-agents:cdo-review command examines a plan touching training data, data architecture or its monetization. Use it before training a model on customer data or choosing a warehouse.

Mostly picked by

Updated November 2, 2026

Card for the “Data strategy review” skill

Details

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

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What you get

  • SKILL.md: six questions for a chief data officer
  • SKILL.md: consent provenance audit and architecture choice

Good fit for

  • You want to train a model on customer data
  • You are choosing between a warehouse and a lakehouse

Not for

    Tags

    • data
    • architecture
    • governance

    About

    You say

    “/c-level-agents:cdo-review Training a model on support tickets”

    Card for the “Data strategy review” skill

    Skill published by alirezarezvani 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 test a plan touching data, AI or data architecture
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.3 KB

    Origin and licence

    Listed unmodified

    Author
    alirezarezvani
    Source
    github.com/alirezarezvani/claude-skills/tree/5434623a788ec3105d238328cfe554e1e2242ff7/c-level-agents/skills/cdo-review
    Licence
    MIT

    Notice

    « cdo-review » (alirezarezvani, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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