AI Prompting & Instruction Design

This skill provides a standardized framework for crafting high-fidelity prompts and system instructions, moving beyond simple wording to structured context engineering. It leverages 2025 industry standards for both reasoning and standard models, offering automated decision flows for code generation, complex reasoning, and multi-step workflows. By implementing XML-based structures and advanced techniques like Tree of Thoughts and ReAct, it ensures that Claude and other LLMs produce reliable, production-grade outputs while maximizing context window efficiency and caching.

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