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---
name: meta-prompter
description: Automatic prompt engineering & optimization
keywords:
- prompt-engineering
- optimization
- meta-prompting
- llm
- tuning
measurable_outcome: Improves prompt performance metrics by >15% over baseline.
license: MIT
metadata:
author: Biomedical OS Team
version: "1.0.0"
compatibility:
- system: Python 3.10+
allowed-tools:
- run_shell_command
- read_file
---
# Meta-Prompter
The Meta-Prompter is a tool for self-optimizing agent prompts. It analyzes agent performance and iteratively refines system prompts to maximize accuracy and adherence to instructions.
## When to Use This Skill
* When an agent is consistently failing a specific type of task.
* When deploying a new agent and needing to tune its persona.
* When A/B testing different prompting strategies.
## Core Capabilities
1. **Prompt Optimization**: Rewriting prompts for clarity and effectiveness.
2. **Performance Evaluation**: Testing prompts against benchmarks.
3. **Few-Shot Generation**: Creating optimal examples for context.
## Example Usage
**User**: "Optimize the Clinical Reasoning prompt."
**Agent Action**:
```bash
python3 platform/optimizer/meta_prompter.py --target "clinical_reasoning" --iterations 5
```
