Learning Prompt

Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model bias or misinterpretation, and how to adapt prompts for different AI capabilities. Because prompt design is a skill under continuous iteration, the repo encourages contributions of new prompt recipes, evaluations, and domain-specific adaptations. It’s intended for educators, developers, and prompt engineers who want a living toolkit rather than static advice. Over time it serves as both a reference and playground for emergent prompt techniques.