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Prompt Engineering Patterns

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sickn33·vlatest·ai-ml·MIT

Generates optimized prompts using proven patterns to maximize AI model output quality and creative potential.

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  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill prompt-engineering-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

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scanned

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Commit
5a4cdd9df8
Manifest
skills/prompt-engineering-patterns/SKILL.md
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0 files
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About this skill

What it does

This skill provides a collection of proven prompt engineering patterns designed to optimize interactions with AI agents. It enables users to structure inputs that yield more accurate, consistent, and context-aware responses by leveraging established linguistic frameworks.

When to use it

  • You need to generate complex code snippets without introducing syntax errors or logical flaws.
  • You are tasked with creating content that must adhere to strict tone, style, or formatting guidelines.
  • You require the AI to perform multi-step reasoning tasks involving data analysis or problem-solving.
  • You want to reduce hallucinations by forcing the model to cite sources or follow a specific verification process.

Key capabilities

  • Implements structured pattern libraries for various task types (creative, analytical, coding).
  • Enhances context retention through specialized framing techniques.
  • Reduces ambiguity in user instructions via precise syntactic templates.
  • Optimizes output quality by applying best-practice constraints directly to the prompt.

Example prompts

  • "Apply the 'Chain-of-Thought' pattern from this skill set to solve the following math problem step-by-step."
  • "Use the 'Persona Adoption' framework to write a blog post about quantum computing as if you were a senior physicist."
  • "Refine my request using the 'Few-Shot Learning' pattern to ensure the AI generates product descriptions matching these three examples."

Tips & gotchas

These patterns are most effective when combined with clear, specific context about your desired outcome; generic instructions may still yield suboptimal results even with advanced framing. Ensure you have sufficient token limits available, as complex pattern applications often require longer input and output sequences.