quality-enriched-prompting

What problem does it solve?

This Skill implements a 0,1-enriched category framework to enable continuous optimization of prompt quality. It models transformations as quality-rated morphisms and provides methods to evaluate, compare, and improve prompts across multiple dimensions.

Core Features & Use Cases

• 0,1-enriched category foundations for prompts, outputs, and contexts with quality-graded morphisms.
• Multi-dimensional quality metrics and Pareto frontier analysis to identify optimal prompts.
• LLM-based evaluation and guided improvements to co-create higher-quality prompts.
• Enriched functors that map prompts to quality scores while preserving structure.

Quick Start

To begin, define an initial_prompt and a evaluation function, run iterative improvement until the desired quality is reached.