Prompt Engineering Patterns

What it does

This skill provides a collection of proven prompt engineering techniques and patterns that help users craft more effective prompts for AI agents. It includes strategies like role-playing, chain-of-thought reasoning, and iterative refinement to improve output quality and alignment with user goals.

When to use it

• When you need to generate highly accurate or creative outputs from an AI agent.
• When working on complex tasks that require multi-step reasoning or structured responses.
• When training or fine-tuning prompts for consistent performance across different models.
• When aiming to reduce ambiguity and improve the clarity of your instructions.

Key capabilities

• Role-playing prompts to guide agents into specific personas or behaviors
• Chain-of-thought prompting to encourage logical, step-by-step reasoning
• Iterative refinement techniques to improve output quality through feedback loops
• Prompt templates for common use cases like coding, writing, and analysis

Example prompts

• "Act as a senior software engineer. Explain how to implement a REST API in Python."
• "Walk me through the steps of solving this math problem logically."
• "Refine this prompt: 'Write an article about climate change' — make it more specific and detailed."

Tips & gotchas

• Start with simple prompts before applying complex patterns, as overcomplication can reduce effectiveness.
• Be mindful of model limitations; not all patterns will work equally well across different AI agents or tasks.