| 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
- Prompt Optimization: Rewriting prompts for clarity and effectiveness.
- Performance Evaluation: Testing prompts against benchmarks.
- Few-Shot Generation: Creating optimal examples for context.
Example Usage
User: "Optimize the Clinical Reasoning prompt."
Agent Action:
python3 platform/optimizer/meta_prompter.py --target "clinical_reasoning" --iterations 5
