Prompt Engineering Master

概要

The Prompt Engineering skill provides a comprehensive framework for maximizing the reliability and controllability of LLMs within the Claude Code environment. It equips users with expert-level strategies such as few-shot learning, chain-of-thought reasoning, and systematic prompt optimization to solve complex logic problems and reduce hallucinations. Whether you are building production-grade agents or debugging inconsistent model behavior, this skill offers the implementation patterns, template systems, and instruction hierarchies necessary to achieve high-accuracy, cost-effective AI interactions.

主な機能

• Chain-of-thought prompting to improve analytical reasoning accuracy
• Implementation of few-shot learning patterns for consistent formatting
• Systematic A/B testing and refinement for prompt optimization
• 0 GitHub stars
• Reusable template systems with variables and modular components
• Advanced system prompt design and instruction hierarchy mapping

ユースケース

• Debugging and fixing inconsistent agent behaviors or edge-case failures
• Optimizing long-form prompts to reduce token usage while maintaining quality
• Creating standardized AI interaction templates for software development teams