Can I use these patterns for production applications?

Yes, this skill is specifically designed to help developers move from experimental, 'vibes-based' prompting to reliable, production-grade AI interactions.

What is few-shot learning in this context?

Few-shot learning involves providing the model with a small set of high-quality examples (input-output pairs) within the prompt to guide its behavior through pattern matching.

What are prompt engineering patterns?

They are standardized, repeatable techniques like few-shot learning and chain-of-thought used to improve the accuracy, reasoning, and consistency of LLM responses.

How does this skill improve Claude's output?

It applies structured reasoning frameworks and systematic optimization workflows to reduce hallucinations and ensure the model follows complex constraints and instructions.

Prompt Engineering Patterns

Name: Prompt Engineering Patterns
Author: HermeticOrmus

byHermeticOrmus

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Data Science & ML

Optimizes LLM performance and reliability through advanced prompting techniques like chain-of-thought and few-shot learning.

This skill provides a comprehensive framework for designing, testing, and refining prompts to ensure production-grade LLM outputs. It equips developers with standardized patterns for structured reasoning, dynamic example selection, and template-based interpolation, enabling the creation of highly controllable and consistent AI-driven applications. By implementing these battle-tested patterns, developers can significantly reduce hallucinations, improve instruction-following, and maximize the utility of Large Language Models within their software ecosystem.

Key Features

01Modular template systems with variable interpolation

02Advanced system prompt design for precise behavioral control

032 GitHub stars

04Few-shot learning with dynamic example selection strategies

05Chain-of-thought reasoning and self-consistency patterns

06Systematic prompt optimization and iterative A/B testing

Use Cases

01Building production-ready LLM applications with high consistency requirements

02Refining complex system instructions for specialized AI agents and assistants

03Implementing structured output formats and error recovery in AI workflows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/libreuiux-claude-code prompt-engineering-patterns

For use in Claude.ai and ChatGPT

Download Skill