Prompting Pattern Library

关于

This skill serves as an exhaustive resource for mastering prompt engineering by offering a library of over 25 structural, reasoning, and output control patterns. It helps users move beyond basic instructions to implement advanced techniques like Chain-of-Thought and Tree of Thoughts while identifying common failure modes across major models like Claude, GPT-4, and Gemini. Whether designing multi-agent orchestration systems, troubleshooting inconsistent outputs, or creating educational content, this library provides the architectural blueprints and practical examples necessary to maximize the performance and reliability of large language models.

主要功能

• Model-specific optimization guidance for Claude, GPT-4, and Gemini
• Library of 25+ structural and reasoning patterns including Chain-of-Thought and Tree of Thoughts
• Diagnostic guides for identifying and fixing common failure modes and anti-patterns
• Cross-referenced examples with 'why it works' analysis for technical education
• Advanced orchestration patterns for building complex multi-agent systems
• 6 GitHub stars

使用场景

• Designing multi-step AI workflows and agentic architectures for production systems
• Creating educational guides and documentation to teach prompting techniques to others
• Debugging and refining problematic prompts to improve output consistency and precision