prompt-engineering-basics

What problem does it solve?

Prompt engineering is essential for getting reliable, high-quality results from AI models. This skill aggregates core concepts, techniques, and best practices into a practical guide that helps users design prompts that consistently yield desired outcomes.

Core Features & Use Cases

• Foundational concepts: zero-shot, few-shot, chain-of-thought, self-criticism, decomposition, ensembling, and thought generation.
• Best practices: role prompting, clear delimiters, explicit output formats, iterative refinement, and prompt evaluation.
• Use Cases: crafting prompts for developers, researchers, educators, and content creators; debugging AI responses; constructing multi-step reasoning prompts and verification workflows.

Quick Start

To begin, read the guide to understand the core techniques, then practice with a simple prompt like: "Explain what zero-shot prompting is and give a short example for text classification." Iterate by adding a few-shot example and a minimal chain-of-thought step.