prompt-dsl

What problem does it solve?

This Skill provides a structured and composable way to build complex prompts for language models, moving beyond simple string concatenation to a more robust, algebraic approach.

Core Features & Use Cases

• Categorical Prompt Structure: Treats prompts as objects and transformations as morphisms, enabling formal composition.
• DSL Primitives: Offers basic prompt types (system, user, context) and composition operators (sequence, parallel, repeat, conditional).
• Template System: Supports parameterized prompts akin to exponential objects in category theory.
• Functor and Monad Operations: Enables applying transformations and sequencing effects within the prompt construction process.
• Use Case: Building a sophisticated prompt for code generation that involves multiple steps: defining the system persona, providing context, specifying requirements, and then refining the output based on certain conditions.

Quick Start

Use the prompt-dsl skill to define a sequential prompt that first sets the system role and then adds a user message.