Advanced Prompt Engineering

About

This skill empowers developers to architect high-performance prompts specifically tuned for Claude 4.5's unique reasoning capabilities. It provides structured workflows for analyzing legacy prompts, implementing guardrails to prevent hallucinations, and optimizing context through strategic caching and XML structuring. By integrating core patterns like Chain-of-Thought, action framing, and contextual motivation, the skill ensures that AI-driven features remain consistent, cost-effective, and reliable. Whether you are migrating from older models or building complex agentic workflows, this skill ensures your prompts follow the latest architectural patterns for maximum efficiency.

Key Features

• Context caching strategies to reduce token overhead
• Logic extraction decision trees (Prompt vs. Script)
• 0 GitHub stars
• Claude 4.5 specific optimization and behavior tuning
• Automated prompt analysis and issue categorization
• Multi-level guardrail implementation for hallucination prevention

Use Cases

• Migrating legacy Claude 3 prompts to Claude 4.5 for better reasoning
• Optimizing long-context prompts to leverage 1024+ token caching
• Building standardized agentic workflows with explicit success criteria