skills.rest
robwestz
robwestzCOMMUNITY
Explore all skills by this author →
GitHub

dspy-ruby

Build type-safe LLM applications in Ruby with typed signatures and modular components.

Updated Feb 25, 2026
Search Tags:#llm#modules#ruby#tools#providers#signatures#dspy
One-click install
npx skills add https://github.com/robwestz/bacowr_b --skill dspy-ruby-robwestz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dspy-ruby
Source: https://github.com/robwestz/bacowr_b/tree/main/every-marketplace/plugins/compound-engineering/skills/dspy-ruby
Command: npx skills add https://github.com/robwestz/bacowr_b --skill dspy-ruby-robwestz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

DSPy.rb provides a full framework for building robust, type-safe LLM applications in Ruby by combining typed signatures, modular components, and tooling to configure providers, build agent systems with tools, optimize prompts, and test AI features.

Core Features & Use Cases

  • Type-safe signatures with structured outputs and automatic coercion to Ruby types
  • Modular design with signatures, modules, and tools for reusable AI workflows
  • Production-ready features: observability, error handling, testing, and storage
  • Provider adapters and RubyLLM integration for multi-provider routing
  • Agents and tool systems (ReAct, ChainOfThought, CodeAct) for interactive AI tasks

Quick Start

Install the dspy-ruby package and define a simple signature to start predicting.

Frequently Asked Questions about dspy-ruby

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build type-safe LLM applications in Ruby?▼

You can build type-safe LLM applications in Ruby by defining typed signatures that automatically coerce structured outputs into Ruby types, ensuring predictable results across multiple providers.

What Ruby frameworks support composing modular LLM agents with tools?▼

This framework provides modular components with agents like ReAct, ChainOfThought, and CodeAct, enabling you to compose interactive AI tasks and integrate tools within Ruby workflows.

How do I route LLM requests across multiple providers in a Ruby app?▼

You route LLM requests across multiple providers using built-in provider adapters and RubyLLM integration, allowing flexible multi-provider routing for your Ruby applications.

Does this Ruby LLM framework include production features like observability and testing?▼

Yes, the framework includes production-ready features such as observability, error handling, testing, and storage to minimize risk when deploying AI in production environments.

What is the best way to optimize prompts for predictable LLM outputs in Ruby?▼

The best way to optimize prompts is by using typed interfaces and modular components to define signatures, which structure outputs and improve predictability across different LLM providers.

Related Skills

Explore More Software Engineering Skills→
musical-basicsmusical-basics

hermes-agent

Configure and operate autonomous AI agent instances across terminal and messaging platforms.

Community
Advanced
giosuetedeschi-specgiosuetedeschi-spec

langfuse

Track LLM traces, spans, and metrics for production AI applications.

Community
Advanced
yxc023yxc023

dspy-ruby

Build type-safe LLM-driven Ruby applications with Sorbet-based signatures and modules.

Community
Advanced
i3ringiti3ringit
3

dspy-ruby

Builds LLM applications in Ruby with type-safe signatures and modular workflows.

Community
Intermediate