How does this differ from standard prompt engineering?

Instead of using 'hacks' or 'tricks,' this skill focuses on high-quality technical writing, clear decision frameworks, and treating AI as a professional teammate.

Can this skill help with OpenAI models?

Yes, it includes a specific GPT-5 Prompting Guide designed to optimize instructions for OpenAI's architecture, focusing on tool preambles and planning protocols.

What are the three prompt types used by this skill?

The skill categorizes prompts into 'Do This' for single tasks, 'Know How' for reusable capabilities, and 'Learn Domain' for acquiring and synthesizing new information.

What is the Genius Intern framework?

It is a philosophy that treats AI as a brilliant generalist who possesses high intelligence but requires specific context and clear examples of what 'good' looks like to succeed.

Does it support markdown output?

Yes, the skill always generates the final prompt as a clean markdown file for easy integration and version control.

Prompt Engineer

Name: Prompt Engineer
Author: nityeshaga

bynityeshaga

•

데이터 과학 및 ML

Crafts high-quality AI instructions using the Genius Intern framework to maximize LLM performance and clarity.

소개

The Prompt Engineer skill transforms your interaction with AI by treating models as highly capable remote teammates rather than tools to be 'hacked.' It provides a structured methodology for creating, reviewing, and refining prompts using three core frameworks: Do This (task execution), Know How (reusable capabilities), and Learn Domain (knowledge acquisition). By emphasizing clear context, decisive instructions, and structured reasoning over common anti-patterns, this skill helps you build production-grade prompts optimized for Claude, GPT-5, and other advanced LLMs.

주요 기능

Eliminates common prompt anti-patterns like hedging, over-specification, and excessive politeness
Implements the 'Genius Intern' and 'Async Remote Teammate' communication frameworks
Provides specialized templates for task execution, reusable tools, and domain learning
Generates structured, production-ready prompts in standardized Markdown format
47 GitHub stars
Includes a dedicated optimization pass specifically for GPT-5 and OpenAI models

사용 사례

Refining existing low-performing prompts to improve output reliability and quality
Developing complex system prompts for new AI-powered applications and agents
Creating context-rich instructions for specialized domain knowledge tasks

소개

주요 기능

Eliminates common prompt anti-patterns like hedging, over-specification, and excessive politeness
Implements the 'Genius Intern' and 'Async Remote Teammate' communication frameworks
Provides specialized templates for task execution, reusable tools, and domain learning
Generates structured, production-ready prompts in standardized Markdown format
47 GitHub stars
Includes a dedicated optimization pass specifically for GPT-5 and OpenAI models

사용 사례

Refining existing low-performing prompts to improve output reliability and quality
Developing complex system prompts for new AI-powered applications and agents
Creating context-rich instructions for specialized domain knowledge tasks