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Spot shared code to extract v1.0.0

Use this resource to spot recent code worth extracting into shared modules

New

  • 482 downloads
  • 249 likes
  • 128 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install shared-code-extraction-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 agent reviews recent changes, checks work already underway, and scores each candidate with a dedicated rubric. It stays read-only and returns a short, argued list that may even be empty.

Mostly picked by

Updated November 2, 2026

Card for the “Spot shared code to extract” skill

Details

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

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What you get

  • SKILL.md: method for spotting candidates and the evaluation rubric
  • SKILL.md.tmpl: template the SKILL.md is generated from

Good fit for

  • The same code is starting to repeat across several modules
  • You want to trim a repository before a code review

Not for

    Tags

    • shared code
    • refactoring
    • review
    • technical debt

    About

    You say

    “Find the recent code in our repo that should be shared between the services.”

    Card for the “Spot shared code to extract” skill

    Skill published by garrytan 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 spot recent code worth extracting into shared modules
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md12.7 KB
    • SKILL.md.tmpl10.6 KB

    Origin and licence

    Listed unmodified

    Author
    garrytan
    Source
    github.com/garrytan/gstack/tree/4c745eec108abf7072f1ff755dce09bc8ba400a9/deslop-shared-libs
    Licence
    MIT

    Notice

    « deslop-shared-libs » (garrytan, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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