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Reviewing generated code for Clean Code and SOLID v1.0.0

Use this resource to review generated or changed code against quality rules before delivery

New

  • 517 downloads
  • 202 likes
  • 166 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install generated-code-clean-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 runs a check pass after writing code: names, functions, comments, SOLID, DRY, KISS and YAGNI, then fixes before delivery. You get reviewed code and a self-check on failure modes specific to AI output.

Mostly picked by

Updated November 2, 2026

Card for the “Reviewing generated code for Clean Code and SOLID” skill

Details

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

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What you get

  • SKILL.md: rules applied, usage and success criteria
  • references/solid.md: SOLID principles and examples
  • references/ai-failure-modes.md: frequent failures in generated code

Good fit for

  • An agent just produced a module and you want it reviewed
  • You want a systematic check before merging generated code

Not for

    Tags

    • clean code
    • solid
    • generated code
    • quality

    About

    You say

    “Run this generated code through the Clean Code guard and fix the overly long functions.”

    Card for the “Reviewing generated code for Clean Code and SOLID” skill

    Skill published by community 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 review generated or changed code against quality rules before delivery
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/ai-failure-modes.md15.9 KB
    • references/comments-and-formatting.md5.2 KB
    • references/dry-kiss-yagni.md8.7 KB
    • references/naming-and-functions.md6.5 KB
    • references/review-checklist.md9.1 KB
    • references/solid.md10.3 KB
    • references/sources.md3.2 KB
    • SKILL.md17.4 KB

    Origin and licence

    Listed unmodified

    Author
    community
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/clean-code-guard
    Licence
    MIT

    Notice

    « clean-code-guard » (community, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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