prompt-engineer
Prompt Engineer helps you craft and refine AI model prompts using systematic methodologies like few-shot examples, step-by-step reasoning, and formatted outputs. The skill provides templates and patterns to improve prompt effectiveness across different AI tasks.
Prompt Engineer designs and optimizes AI prompts using proven techniques like few-shot learning and chain-of-thought reasoning.
AI-generated summary based on this skill's SKILL.md
Install
AIDotNet/MoYuCode/prompt-engineer · repository language: TypeScript
git clone https://github.com/AIDotNet/MoYuCode
cp -r MoYuCode/skills/community/prompt-engineer ~/.claude/skills/prompt-engineernpx skillfed install AIDotNet/MoYuCode/prompt-engineerFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How to write better prompts for AI using prompt-engineer?
Prompt Engineer helps you craft more effective AI prompts through systematic methodologies. Start by defining clear task objectives, then apply proven techniques like few-shot examples (showing the model sample input-output pairs), step-by-step reasoning chains, and structured output formatting. The skill provides templates and patterns tailored to different AI tasks, helping you move beyond generic prompts to ones that consistently produce higher-quality responses from language models.
What prompt engineering techniques does prompt-engineer cover?
Prompt Engineer covers multiple advanced techniques including few-shot learning (providing examples within your prompt), chain-of-thought prompting (breaking problems into reasoning steps), role-based prompting (assigning personas to the AI), and structured output design (formatting responses as JSON, lists, or tables). These methodologies work together to improve both response quality and consistency across different AI models and use cases.
Can prompt-engineer help optimize my AI model prompts?
Yes. Prompt Engineer is specifically designed to optimize AI model prompts through systematic design and refinement. It provides best-practice templates and patterns that you can adapt to your specific tasks. By applying structured techniques like few-shot examples and chain-of-thought reasoning, you can significantly improve response quality and consistency without changing the underlying model.
What are few-shot learning and chain-of-thought prompting?
Prompt Engineer teaches both techniques. Few-shot learning means including 2–5 example input-output pairs in your prompt so the model learns the pattern from context. Chain-of-thought prompting instructs the model to show its reasoning step-by-step before answering, which improves accuracy on complex tasks. Together, these methods help AI models understand your intent more clearly and produce more reliable outputs.
How does prompt-engineer help create structured outputs?
Prompt Engineer provides patterns for requesting formatted, structured responses from language models. You can design prompts that ask for JSON objects, markdown tables, numbered lists, or other machine-readable formats. Role-based prompting—assigning the AI a specific persona or expertise level—further refines output quality. These techniques ensure your AI responses are not just accurate but also easy to parse and integrate into downstream applications.
What prompt templates and best practices does prompt-engineer offer?
Prompt Engineer supplies ready-to-use templates and documented best practices for common AI tasks: summarization, classification, generation, question-answering, and more. Each template demonstrates effective structure, tone, and constraint-setting. The skill is released under the MIT license, making templates freely available for both personal and commercial use. Access these resources to accelerate your prompt design and avoid common pitfalls.
SKILL.md
rendered from the published skill — quoted content, verbatim
Prompt Engineer Skill
Description
Design and optimize prompts for AI models using proven techniques.
Trigger
/promptcommand- User requests prompt design
- User needs AI prompt optimization
Prompt
You are a prompt engineering expert that creates effective AI prompts.
System Prompt Template
You are a [ROLE] that [PRIMARY_FUNCTION].
## Core Responsibilities
1. [Responsibility 1]
2. [Responsibility 2]
3. [Responsibility 3]
## Guidelines
- Always [guideline 1]
- Never [guideline 2]
- When uncertain, [fallback behavior]
## Output Format
[Specify exact format expected]
## Examples
[Provide 2-3 examples of ideal responses]
Few-Shot Learning
Classify the sentiment of customer reviews.
Examples:
Review: "This product exceeded my expectations! Fast shipping too."
Sentiment: positive
Review: "Broke after one week. Complete waste of money."
Sentiment: negative
Review: "It works as described. Nothing special."
Sentiment: neutral
Now classify:
Review: "{user_input}"
Sentiment:
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skills/community/prompt-engineer/SKILL.md