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dspy-ruby

Create type-safe LLM applications in Ruby using DSPy.rb with Sorbet signatures.

Updated Feb 1, 2026
Search Tags:#ai development#llm#ruby#type-safe#dspy#programmatic prompts
One-click install
npx skills add https://github.com/isndotbiz/website --skill dspy-ruby-isndotbiz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dspy-ruby
Source: https://github.com/isndotbiz/website/tree/main/.claude/skills/dspy-ruby
Command: npx skills add https://github.com/isndotbiz/website --skill dspy-ruby-isndotbiz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the development of complex language model applications in Ruby by providing a structured, type-safe framework that integrates software engineering best practices.

Core Features & Use Cases

  • Type-Safe Signatures: Define LLM interfaces using Sorbet types for predictable inputs and outputs.
  • Modular Components: Compose LLM logic using reusable modules like Predict, ChainOfThought, and ReAct.
  • Agent Systems: Build agents that can use tools with comprehensive type support.
  • Optimization: Improve prompt accuracy through data-driven optimization techniques.
  • Use Case: Develop a customer support bot that can classify incoming emails, extract key information, and use tools to look up user data, all within a type-safe Ruby environment.

Quick Start

Use the dspy-ruby skill to classify an email by providing its content.

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 LLM signatures with Sorbet types and composing modular logic components like Predict and ChainOfThought to ensure predictable inputs and outputs.

What is the best way to structure complex LLM logic in a Ruby application?▼

The best way to structure complex LLM logic is by composing reusable modular components such as Predict, ChainOfThought, and ReAct, which allows you to build agent systems with integrated tool usage.

Can I use Sorbet type checking with language model prompts in Ruby?▼

Yes, you can use Sorbet type checking with language model prompts by defining type-safe LLM signatures, ensuring that your modular components receive predictable and validated inputs and outputs.

How do I optimize LLM prompt accuracy programmatically in Ruby?▼

You optimize LLM prompt accuracy programmatically in Ruby by applying data-driven prompt optimization techniques provided by the DSPy.rb framework to refine and improve your language model outputs.

Does this approach support building Ruby agents that use external tools?▼

Yes, this approach supports building Ruby agents that use external tools with comprehensive type support, enabling the development of systems like customer support bots that classify emails and look up user data.

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