prompt-engineering-skills

🥈Silver

AI prompt engineering skills for Claude Code, ChatGPT GPTs, and Gemini Gems. Includes model-specific patterns for GPT-5.2, Claude 4.5, Gemini 3, Veo 3.1, and Nano Banana. Optimizes AI interactions for operations teams.

2660Updated Today

Intermediate30min to implementautomation

Saves ~60 min per use

Quick InstallView Source

git clone https://github.com/treylom/prompt-engineering-skills.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/treylom/prompt-engineering-skills

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Act as a prompt engineer for [MODEL_NAME], such as GPT-5.2, Claude 4.5, or Gemini 3. Optimize this prompt for [SPECIFIC_TASK], such as generating code, writing marketing copy, or analyzing data. Ensure the prompt follows best practices for [MODEL_NAME] and includes clear instructions, constraints, and examples if needed.

Example Output

# Optimized Prompt for GPT-5.2: Data Analysis Report

**Task:** Generate a comprehensive data analysis report for [COMPANY] in the [INDUSTRY] sector.

**Instructions:**
- Analyze the provided [DATA] dataset.
- Identify key trends, patterns, and outliers.
- Provide actionable insights and recommendations.
- Use clear, concise language and bullet points for readability.
- Include visualizations where applicable.

**Constraints:**
- Limit the report to 500 words.
- Focus on the past 12 months of data.
- Avoid technical jargon.

**Examples:**
- Previous reports have included sections on market trends, customer behavior, and competitive analysis.

**Output:**

## Data Analysis Report for [COMPANY]

### Key Trends
- **Revenue Growth:** [COMPANY] experienced a 15% increase in revenue over the past year, driven by [SPECIFIC_FACTOR].
- **Customer Acquisition:** New customer acquisition rates increased by 20%, with a notable rise in [CUSTOMER_SEGMENT].
- **Market Share:** [COMPANY] gained 5% market share in the [INDUSTRY] sector.

### Actionable Insights
- **Marketing Strategy:** Focus on [SPECIFIC_STRATEGY] to capitalize on the growing [CUSTOMER_SEGMENT].
- **Product Development:** Invest in [PRODUCT_FEATURE] to address the identified customer needs.
- **Operational Efficiency:** Streamline [PROCESS] to reduce costs and improve customer satisfaction.

### Recommendations
- **Short-Term:** Implement [ACTION] to address immediate concerns.
- **Long-Term:** Develop a comprehensive plan for [STRATEGY] to ensure sustained growth.

### Visualizations
- **Revenue Growth Chart:** [INSERT_CHART]
- **Customer Acquisition Graph:** [INSERT_GRAPH]