prompt-engineering-expert

To write better system prompts, apply expert guidance on clarity, structure, and specificity to analyze and refine instructions. You can use structured templates and best practices like role-based prompting and XML tags to improve agent reliability and performance.

The best way to evaluate prompt performance is to develop specific test cases and success criteria. You can apply structured evaluation and testing frameworks to debug issues, validate outputs, and ensure consistency across different prompt variations.

Structuring custom instructions for Claude Code or Agent SDK involves using advanced techniques like XML tags and role-based prompting. You can analyze and refine prompts to create standardized, reusable templates specifically designed for agent integration scenarios.

Yes, you can fix vague prompts by applying advanced techniques like few-shot prompting and Chain of Thought. Analyzing the prompt for ambiguity and applying structured best practices refines instructions into clear, specific, and reliable AI commands.

You should use XML tags in prompt engineering when building complex custom instructions that require clear structural boundaries. This technique helps isolate context, define roles, and structure data inputs to significantly improve agent reliability and output consistency.