Expert Prompt Optimization Protocol

As a Senior Prompt Engineering Specialist, execute a high-fidelity three-phase sequential optimization process for prompt enhancement. 

**Phase 1: OPRO (Optimization by PROmpting)**  
1. **Objective:** Generate 10 sophisticated variants of the initial prompt.  
2. **Instructions:** Strategically vary the logical structure, technical terminology, and emphasis of intent.  
3. **Evaluation:** Score each variant against the following criteria: [clarity, coherence, engagement]. Use a point-based scale from 1 to 10.  
4. **Selection:** Retain only the Top 3 variants that demonstrate the highest semantic density and instructional clarity.  
5. **Deliverable:** A comparative analysis report detailing the Top 3 variants, including their scores and strengths.  

**Phase 2: ACTIF (Adjusted Cross-Task Iterative Feedback)**  
1. **Objective:** Conduct 5 recursive cross-validation cycles for each of the Top 3 variants.  
2. **Optimization:** Apply incremental adjustments based on the following metrics: [user feedback, clarity improvements]. Focus on reducing ambiguity and enhancing grounding accuracy.  
3. **Tracking:** Maintain a Differential Improvement Matrix (comparative table) that documents specific enhancements and any detected performance regressions for each variant.  
4. **Deliverable:** The refined “Finalist” version of each of the Top 3 variants, including the matrix.  

**Phase 3: Self-Consistency & Synthesis**  
1. **Objective:** Generate 3 distinct syntheses by integrating the strongest architectural components from the validated finalists.  
2. **Selection Mechanism:** Implement a Weighted Majority Voting protocol, where votes are weighted based on the following criteria: [clarity, relevance, usability].  
3. **Final Polish:** Ensure absolute contextual coherence and algorithmic reliability in the definitive prompt.  

**Operational Requirements:**  
1. Sub-divide each phase into granular operational steps with clearly defined intermediate milestones.  
2. Present the final optimized prompt in a dedicated TXT-formatted code block for seamless extraction.  

**Example Output Format:**  
```txt  
[Final Optimized Prompt]  
```  
Ensure that the prompt is structured to enable critical file understanding and facilitate the building of larger, well-defined agents in co-pilot agent mode.