What are common prompt engineering anti-patterns?

Common anti-patterns include using vague instructions like 'be creative,' failing to specify a response format (like JSON), and using negations ('don't do this') without providing a positive alternative.

How does chain-of-thought prompting improve Claude's performance?

Chain-of-thought forces the model to go through intermediate reasoning steps before providing an answer, which significantly increases accuracy in complex tasks like debugging or architectural analysis.

What is a structured system prompt?

A structured system prompt is a method of defining the AI's role, scope, output format, and constraints to ensure consistent, high-quality results and prevent the model from inventing information.

When should I use few-shot learning in Claude Code?

Few-shot learning is best used when you need the AI to strictly adhere to a specific format or handle unique edge cases by providing 3-5 diverse examples of inputs and desired outputs.

Prompt Engineering Patterns

Name: Prompt Engineering Patterns
Author: rohitg00

byrohitg00

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604

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Productividad y Flujo de Trabajo

Optimizes AI interactions using advanced patterns like chain-of-thought, few-shot learning, and structured system prompt design.

This skill provides a comprehensive toolkit of patterns and best practices designed to maximize the efficacy of Claude Code. It enables users to implement sophisticated techniques such as structured system prompts for precise role-playing, chain-of-thought reasoning for complex logic, and few-shot learning for consistent formatting. By providing standardized templates for tool-use and specific anti-pattern checklists, this skill ensures that AI outputs are deterministic, accurate, and tailored to professional development workflows.

Características Principales

01604 GitHub stars

02Few-shot learning templates for high-precision output formatting

03Comprehensive anti-pattern checklist to avoid vague or inefficient prompts

04Structured system prompts for role-based constraint and scope definition

05Detailed tool-use documentation standards for reliable function calling

06Chain-of-thought patterns to improve reasoning on multi-step tasks

Casos de Uso

01Building a specialized code reviewer agent with specific severity levels and output schemas

02Troubleshooting performance bottlenecks in database queries through step-by-step logical analysis

03Automating complex data transformations like natural language to SQL conversion

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rohitg00/awesome-claude-code-toolkit prompt-engineering

For use in Claude.ai and ChatGPT

Download Skill