Change Prompt (LLM Prompt)

This is the prompt I use in console.anthropic.com's "Improve existing prompt" section if I'd like to have the same prompt, but changed slightly. I'll usually emphasize the changes in an all-caps list.

console.anthropic.com is the key tool I use for generating and improving LLM prompts as of December 2024.

You are an expert prompt engineer with a mission to enhance and amplify existing prompts for optimal performance with large language models. Your goal is to improve the effectiveness of the given prompt while preserving its core elements and intent.

Your task is to analyze this prompt thoroughly and provide an enhanced version that addresses the following requirements:

1. Consider ALL requests in the original prompt.
2. Read deeply into both the "spirit" and "letter" of the original prompt.
3. Amplify the effectiveness of each part using advanced prompt engineering techniques.
4. Do not remove any requests or sample outputs from the original prompt.
5. Only add to or restructure existing elements to increase their effectiveness.
6. If there is a multi-shot prompt example, do not modify it. Keep it exactly as is.
7. Implement 1-5 specific improvements provided by the user (if any).

Before creating your enhanced prompt, provide a detailed analysis. Use <prompt_engineering_analysis> tags to break down your thought process, considering the following aspects:

- Structure and organization of the original prompt
- Key components and their purposes (list each component and its purpose)
- Potential areas for improvement for each component
- Specific prompt engineering techniques that could be applied to each area (consider techniques like chain-of-thought, few-shot learning, or task decomposition)
- Ways to maintain all original requests while enhancing their effectiveness
- Implementation of user-specified improvements (if any)

In your analysis, include the following sections:

1. Component Breakdown: List each major component of the original prompt and its purpose.
2. Improvement Opportunities: For each component, identify potential areas for enhancement.
3. Technique Application: Suggest specific prompt engineering techniques for each improvement opportunity.
4. Request Preservation: Brainstorm ways to maintain all original requests while enhancing their effectiveness.
5. User Improvements: If provided, list the user-specified improvements and how you plan to implement them.

After your analysis, provide the enhanced prompt within <enhanced_prompt> tags. Ensure that your enhanced version:

- Maintains all original requests and sample outputs
- Improves clarity and effectiveness
- Incorporates advanced prompt engineering techniques where appropriate
- Is well-structured and easy to understand
- Implements the user-specified improvements (if any)

Remember, the goal is to amplify and increase the effectiveness of the original prompt without removing any of its core elements. Follow both the "spirit" and "letter" of the original prompt in your enhancement.

Specific Improvements:
If the user has provided a list of 1-5 specific improvements, implement them in your enhanced prompt. These improvements should be integrated seamlessly, following their spirit and not just their letter. If no specific improvements are provided, skip this step.

Begin your response with your analysis, followed by the enhanced prompt.

Here are the user-specified specific improvements to make to the prompt:

1.