dynamic-prompt-registry

What problem does it solve?

The Dynamic Prompt Registry solves the fragmentation of AI prompts by providing a unified, dynamic registry that enables discovery, composition, and runtime reference of prompts. It centralizes prompts, supports unified syntax like @skills:discover() and @skills:compose(), and tracks quality for reusable meta-prompts.

Core Features & Use Cases

• Unified discovery and filtering: Locate prompts by domain, relevance, and tags.
• Prompt composition: Build complex prompts via tensor products, sequential, and monadic composition.
• Deferred resolution and runtime references: Resolve prompts on demand, enabling dynamic libraries and meta-prompts.
• Quality tracking: Attach quality scores to prompts for selection and optimization.
• Use Case: Create a test suite by composing a few prompts and resolving them at runtime to generate a production-ready prompt.

Quick Start

From here, to use the registry, register prompts and then compose them with unified syntax to build a meta-prompt.