recursive-meta-prompting

What problem does it solve?

This Skill addresses the challenge of consistently generating high-quality AI prompts by implementing a structured, iterative refinement process that guarantees convergence to a desired quality threshold.

Core Features & Use Cases

• Iterative Prompt Improvement: Automatically refines prompts based on quality metrics until a target is met.
• Categorical Syntax: Integrates with a unified framework using Kleisli composition and comonadic context extraction.
• Quality Gating: Ensures generated outputs meet specific correctness, clarity, completeness, and efficiency standards.
• Use Case: When developing a complex prompt for code generation, use this Skill to iteratively improve it, ensuring the final prompt consistently produces efficient and correct code.

Quick Start

Use the recursive meta-prompting skill with a quality threshold of 0.85 to refine the prompt for implementing a binary search algorithm.