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Prompt design and evaluation v1.0.0

Use this resource to design and evaluate prompts for an LLM application

New

  • 525 downloads
  • 224 likes
  • 202 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install prompt-design-evaluation

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 an intent into structured instructions, adds examples and an output format, then spots common anti-patterns. You get a testable prompt and the reasons behind each choice.

Mostly picked by

Updated November 2, 2026

Card for the “Prompt design and evaluation” skill

Details

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

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What you get

  • SKILL.md: system prompt architecture and output formats
  • SKILL.md: few-shot, chain-of-thought patterns and anti-patterns to avoid

Good fit for

  • An assistant repeatedly answers off-topic
  • You are writing the system prompt for a new LLM product

Not for

    Tags

    • prompt
    • few-shot
    • system prompt
    • llm

    About

    You say

    “Rewrite our support assistant's system prompt so it answers in JSON and declines out-of-scope questions.”

    Card for the “Prompt design and evaluation” skill

    Skill published by davila7 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 design and evaluate prompts for an LLM application
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.8 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/prompt-engineer
    Licence
    MIT

    Notice

    « prompt-engineer » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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