Can I use this for non-technical tasks?

Yes, the skill includes specialized templates and checklists for creative writing, learning content, and research analysis, showing up to 157% improvement in actionable output.

What is the Red-Green-Refactor workflow for prompts?

It is an iterative process: first testing a baseline prompt to identify weaknesses (Red), applying core principles to fix them (Green), and then refining with templates for peak performance (Refactor).

What kind of quality metrics can I expect?

Users typically see technical task success rates jump from 40% to 98% and research actionable insights increase by over 150% when using the provided frameworks.

How does this skill improve AI response quality?

It applies 26 specific principles such as chain-of-thought reasoning, structural delimiters, and explicit requirement mapping to reduce ambiguity and guide the LLM's internal processing.

Does this skill work with models other than Claude?

While optimized for Claude Code, the 26 principles are foundational prompt engineering techniques that are highly effective across most modern large language models.

Prompt Engineering Master

Name: Prompt Engineering Master
Author: greyhaven-ai

bygreyhaven-ai

•

生産性とワークフロー

Implements 26 proven prompt engineering principles to maximize the quality and accuracy of AI responses across technical and creative tasks.

This skill transforms AI interactions by applying a systematic framework of 26 documented principles, including chain-of-thought reasoning and structural delimiters. It provides developers and researchers with a comprehensive library of templates, checklists, and anti-pattern guides designed to eliminate hallucinations and improve first-response success rates by up to 400%. Whether you are debugging complex code, designing agent instructions, or creating educational content, this skill ensures your prompts are structured for peak LLM performance.

主な機能

0123-point quality checklist for pre-submission prompt verification

02Comprehensive templates for technical, learning, creative, and research tasks

0326 documented prompt engineering principles with impact metrics

04Library of 12 common anti-patterns with immediate correction strategies

05Red-Green-Refactor workflow for iterative prompt optimization

0615 GitHub stars

ユースケース

01Standardizing AI prompting best practices across development teams

02Optimizing complex technical prompts for debugging and code architecture

03Creating high-quality educational tutorials and structured skill paths

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add greyhaven-ai/claude-code-config prompt-engineering

For use in Claude.ai and ChatGPT

Download Skill