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Prompt engineering: reasoning, examples and templates v1.0.0

Use this resource to design and optimize prompts for language models and agents

New

  • 490 downloads
  • 158 likes
  • 135 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install prompt-engineering-reasoning-templates

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 writes structured prompts: chain of thought, few-shot examples, ReAct loops, extended thinking and tool calls. It then optimizes and refines the prompt. You get a tested prompt and reusable templates.

Mostly picked by

Updated November 2, 2026

Card for the “Prompt engineering: reasoning, examples and templates” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

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What you get

  • SKILL.md: principles, quick reference and workflow
  • references/chain-of-thought.md: chain of thought
  • references/few-shot-learning.md: few-shot examples
  • references/prompt-templates.md: prompt templates

Good fit for

  • Your AI outputs vary a lot from one run to the next
  • You are building an agent loop that calls tools

Not for

    Tags

    • prompt
    • llm
    • reasoning
    • few-shot
    • agents

    About

    You say

    “Improve my invoice extraction prompt: add examples, a JSON output format and a verification step.”

    Card for the “Prompt engineering: reasoning, examples and templates” skill

    Skill published by oakoss 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 optimize prompts for language models and agents
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/chain-of-thought.md6.6 KB
    • references/extended-thinking.md8.7 KB
    • references/few-shot-learning.md6.1 KB
    • references/multimodal-prompting.md7 KB
    • references/prompt-optimization.md10.7 KB
    • references/prompt-templates.md6.5 KB
    • references/react-patterns.md4.2 KB
    • references/reasoning-model-optimization.md7.1 KB
    • references/structured-thinking.md4.6 KB
    • references/system-prompts.md6.2 KB
    • references/tree-of-thoughts.md4.8 KB
    • SKILL.md10.6 KB

    Origin and licence

    Listed unmodified

    Author
    oakoss
    Source
    github.com/oakoss/agent-skills/tree/85e3a3919d9e0ec7f7302a5143ec4b3e66f5f6ad/skills/prompt-engineering
    Licence
    MIT

    Notice

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

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