What is the Prompt Master skill?

Prompt Master is a specialized Claude Code skill that helps users refine and structure simple prompts into detailed, XML-tagged instruction sets to improve AI accuracy and performance.

Can I use the output prompts in other LLMs?

While optimized for Claude's XML-tag preference, the structured approach and clear logic provided by Prompt Master generally improve performance across all major large language models.

Why does this skill use XML tags?

Claude models are optimized to recognize and follow instructions inside XML tags, which helps separate roles, data, and constraints for more reliable outputs.

What information does Prompt Master need to work?

It works best when you provide an initial objective. It will then ask for details like target audience, format constraints, tone, and specific tools or APIs to include.

Does Prompt Master execute my tasks for me?

No, Prompt Master is designed specifically for prompt refinement. It generates the instructions you need to get the best results when you eventually execute the task with an AI.

Prompt Master

Name: Prompt Master
Author: mintuz

bymintuz

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생산성 및 워크플로

Transforms basic user prompts into high-performance, XML-structured instruction sets optimized for Claude models.

소개

Prompt Master is a specialized utility designed to elevate prompt engineering by converting vague or simple requests into comprehensive, context-rich instruction sets. It follows Claude's XML tagging best practices, automatically incorporating specific roles, constraints, step-by-step workflows, and edge-case handling. This skill is essential for developers and prompt engineers who need to ensure reliability, precision, and consistency in AI-driven workflows while adhering to professional prompt architecture standards.

주요 기능

14 GitHub stars
Structured workflow definition with sequential, actionable steps
Automatic XML tagging for roles, tasks, and constraints
Interactive intake process to identify missing context and requirements
Edge case and success criteria identification for robust instructions
Template-based output for consistent AI persona and task definitions

사용 사례

Refining ambiguous tasks into clear instructions with explicit boundaries and examples
Creating robust system prompts for complex AI agents or automated bots
Standardizing team-wide prompt structures for consistent project outputs

소개

주요 기능

14 GitHub stars
Structured workflow definition with sequential, actionable steps
Automatic XML tagging for roles, tasks, and constraints
Interactive intake process to identify missing context and requirements
Edge case and success criteria identification for robust instructions
Template-based output for consistent AI persona and task definitions

사용 사례

Refining ambiguous tasks into clear instructions with explicit boundaries and examples
Creating robust system prompts for complex AI agents or automated bots
Standardizing team-wide prompt structures for consistent project outputs