How do I optimize prompts for production use?

Optimization involves starting with simple prompts and systematically adding constraints or examples while measuring performance metrics like accuracy, consistency, and token usage.

What is Few-Shot Learning in prompt engineering?

Few-Shot Learning involves providing the model with 2-5 specific input-output examples. This teaches the model desired patterns and formatting through demonstration rather than just text instructions.

Does this skill help with system prompt design?

Yes, it provides guidelines for defining global roles, expertise levels, and persistent constraints that ensure the AI behaves consistently throughout an entire conversation.

When should I use Chain-of-Thought prompting?

Chain-of-Thought is best for complex tasks requiring multi-step logic, math, or deep analysis. It forces the model to show its reasoning step-by-step, which significantly improves accuracy.

Prompt Engineering Patterns

Name: Prompt Engineering Patterns
Author: claudiodearaujo

byclaudiodearaujo

•

데이터 과학 및 ML

Optimizes Large Language Model performance through advanced prompting patterns, systematic testing, and structured template systems.

This skill provides a comprehensive framework for maximizing the reliability and accuracy of AI responses using industry-standard prompt engineering techniques. It equips users with proven patterns like Few-Shot Learning and Chain-of-Thought reasoning to handle complex logic, while offering guidance on building reusable template systems and designing robust system prompts. Whether you are debugging inconsistent agent behavior or scaling production-grade prompts, this skill provides the specific patterns and optimization workflows needed to achieve high-quality, cost-effective results.

주요 기능

011 GitHub stars

02Chain-of-Thought reasoning for complex logic tasks

03Few-Shot Learning implementation for consistent formatting

04Reusable template systems with dynamic variables

05Advanced system prompt design and behavioral constraints

06Systematic prompt optimization and performance testing

사용 사례

01Debugging and refining unreliable model behaviors through iterative testing

02Standardizing output formats for production-grade AI agents and tools

03Improving the accuracy of complex analytical tasks and mathematical reasoning

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro prompt-engineering

For use in Claude.ai and ChatGPT

Download Skill