Effective prompt engineering includes techniques like chain-of-thought reasoning, few-shot examples, role assignment, output format specification, and constraint setting. As models improve, raw prompting skill matters less than systematic prompt architecture — breaking complex tasks into stages, using separate prompts for reasoning and formatting, and building evaluation loops to test outputs at scale.