grey-haven-prompt-engineering

Apply 26 documented prompt-engineering principles to transform weak prompts into professional-grade ones. The Skill provides structured techniques for technical, creative, learning, and research tasks, delivering measurable quality improvements—often 400%+ better results—on the first attempt by eliminating guesswork.

Prompt engineering relies on 26 proven principles covering audience targeting, explicit output formats, structured delimiters, step-by-step reasoning, and anti-pattern avoidance. This Skill teaches each principle with real-world templates and before/after examples so you can apply them to code generation, debugging, tutorials, and analysis tasks.

Use the 23-point quality checklist to verify your prompt meets professional standards. The checklist covers principle application, clarity, format specification, and task alignment, ensuring consistent results across technical, creative, learning, and research contexts before you send it to an LLM.

Yes. The Skill includes ready-made templates for code generation, debugging, tutorials, and analysis. Each template embeds prompt-engineering principles and provides a starting point you can customize, reducing iteration time and ensuring higher-quality responses across standard use cases.

No. The Skill is designed for users at any level. It provides step-by-step guidance, real-world examples, and checklists that make principles immediately applicable whether you're new to AI interactions or optimizing existing workflows.

Strong prompts specify audience, expected output format, reasoning steps, and constraints; weak ones rely on vague instructions. The Skill shows before/after transformations demonstrating how applying these 26 principles converts ambiguous requests into precise, actionable prompts that yield predictable, higher-quality LLM outputs.