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Writing an AI agent prompt without doing the task v1.0.0

Use this resource to write or improve a prompt for an AI agent

New

  • 443 downloads
  • 110 likes
  • 232 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install prompt-composer-kernel

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 turns your request into a better prompt for another AI agent. It asks a few questions first, then delivers only the prompt, without performing the task it describes.

Mostly picked by

Updated November 2, 2026

Card for the “Writing an AI agent prompt without doing the task” skill

Details

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

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What you get

  • SKILL.md: rules, preliminary questions and the KERNEL method
  • SKILL.md: delivery format and example

Good fit for

  • You want to turn project guidance into a system prompt
  • You improve a prompt that gives poor results

Not for

    Tags

    • prompt
    • instructions
    • agent
    • writing
    • method

    About

    You say

    “Improve this prompt for my customer support agent, without answering customers on my behalf.”

    Card for the “Writing an AI agent prompt without doing the task” skill

    Skill published by codegiveness 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 write or improve a prompt for an AI agent
    3. Review and adjust the result

    Content preview

    Files

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

    Origin and licence

    Listed unmodified

    Author
    codegiveness
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/kernel-prompt
    Licence
    MIT

    Notice

    « kernel-prompt » (codegiveness, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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