meta-prompting

What problem does it solve?

This Skill addresses the challenge of generating high-quality, iterative outputs from LLMs by providing a structured framework for prompt improvement and complexity routing.

Core Features & Use Cases

• Recursive Prompt Improvement: Automatically refines prompts based on previous outputs and quality assessments.
• Complexity Routing: Adapts strategies based on task complexity (simple, medium, complex).
• Context Extraction: Learns from each iteration to inform subsequent steps.
• Quality Assessment: Scores outputs to guide the iteration process.
• Use Case: When developing complex code or detailed documentation, this Skill ensures that each iteration builds upon the last, leading to a more robust and accurate final product than a single-shot prompt.

Quick Start

Use the meta-prompting skill to improve the output for writing a function to validate email addresses.