Prompt Engineering Expert

About

This skill provides a comprehensive system for building, analyzing, and refining AI prompts for production environments. It employs a systematic six-step framework that prioritizes hard constraints and structured formatting—using XML for Claude and JSON for GPT—to trigger high-quality model responses. Whether you are building complex system prompts, troubleshooting edge case failures, or balancing performance with token efficiency, this skill offers specific methodologies like Chain-of-Thought and Chain-of-Table to transform basic instructions into robust, battle-tested AI instructions suitable for enterprise-grade features.

Key Features

• Research-Backed Techniques (CoT, CoTable, Few-Shot)
• 6-Step Systematic Optimization Framework
• Failure Mode and Edge Case Detection
• Cost-Performance Hill Climbing Methodology
• Production-Ready System Prompt Templates
• 10 GitHub stars

Use Cases

• Debugging inconsistent model behavior by implementing hard constraints and XML structuring.
• Refining existing prompts to reduce token costs without sacrificing output quality.
• Developing production-ready system prompts for new AI-powered product features.