Can I use this skill to ensure AI outputs are in a specific format?

Yes, it provides specific techniques for output formatting, including the use of XML tags for separation and few-shot examples to demonstrate the exact structure required.

What is the 'Golden Rule' of prompt engineering according to this skill?

The golden rule is to show your prompt to a colleague with minimal context; if they are confused by the instructions, Claude likely will be as well.

How does this skill help with complex reasoning tasks?

It implements Chain-of-Thought (CoT) and Extended Thinking patterns, which instruct the model to output its step-by-step reasoning process before providing a final answer.

Does this skill include Claude-specific optimizations?

Yes, it covers unique Claude features such as response prefilling (starting the assistant's message) and the effective use of system prompts for role-based expertise.

Prompt Engineering Master

Name: Prompt Engineering Master
Author: xobotyi

byxobotyi

0•

データサイエンスとML

Optimizes LLM interactions by implementing advanced prompt design techniques, reasoning patterns, and structured instructions for superior AI outputs.

The Prompt Engineering skill provides a comprehensive framework for crafting high-quality AI instructions, debugging inconsistent outputs, and implementing complex reasoning patterns within Claude Code. It bridges the gap between vague requests and precise, reproducible AI behavior by applying industry best practices such as few-shot learning, XML tagging, and chain-of-thought processing. Whether you are building autonomous agents, refining data extraction pipelines, or setting up system-level configurations, this skill ensures Claude receives the exact context and structure needed for optimal, production-grade performance.

主な機能

01Implementation of reasoning patterns like Chain-of-Thought and Extended Thinking

020 GitHub stars

03Few-shot learning integration with diverse, edge-case representative examples

04Claude-specific optimizations including response prefilling and system role definition

05Structured prompt design using XML tags and numbered sequences for clarity

06Security-focused prompting strategies to mitigate hallucinations and injections

ユースケース

01Debugging and improving failing or hallucination-prone LLM instructions

02Developing specialized AI agents with consistent and parseable output formats

03Standardizing complex data extraction tasks using precise JSON and XML structures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add xobotyi/cc-foundry prompt-engineering

For use in Claude.ai and ChatGPT

Download Skill