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Prompt evaluation and optimisation v1.0.0

Use this resource to evaluate and improve a prompt with proven prompting techniques

New

  • 522 downloads
  • 170 likes
  • 219 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install prompt-quality-optimizer

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 the prompt for clarity, specificity, structure and completeness, then picks suitable techniques such as step-by-step reasoning, examples or role framing. You get an optimisation plan and a rewritten prompt.

Mostly picked by

Updated November 2, 2026

Card for the “Prompt evaluation and optimisation” skill

Details

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

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What you get

  • SKILL.md : five steps, from assessment to the optimised version
  • references/prompt-techniques.md : catalogue of prompting techniques
  • references/quality-framework.md : quality assessment framework

Good fit for

  • Your prompts return vague or uneven answers
  • You need to adapt one prompt to several uses

Not for

    Tags

    • prompt
    • optimisation
    • techniques

    About

    You say

    “Improve this prompt that summarises meeting notes.”

    Card for the “Prompt evaluation and optimisation” skill

    Skill published by aaaaqwq 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 evaluate and improve a prompt with proven prompting techniques
    3. Review and adjust the result

    Content preview

    Files

    • _meta.json0.1 KB
    • .clawhub/origin.json0.2 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/prompt-techniques.md21.6 KB
    • references/quality-framework.md14.5 KB
    • SKILL.md7 KB

    Origin and licence

    Listed unmodified

    Author
    aaaaqwq
    Source
    github.com/aaaaqwq/agi-super-team/tree/4c7b20bc52ad8d4a89fa3f5185abc455ef9248de/skills/prompt-optimizer
    Licence
    MIT

    Notice

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

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