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dspy-basics

Teach DSPy signatures, modules, and program composition basics.

Updated Aug 23, 2026
Search Tags:#education#composition#modules#best-practices#signatures#dspy
One-click install
npx skills add https://github.com/Qredence/skill-fleet --skill dspy-basics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dspy-basics
Source: https://github.com/Qredence/skill-fleet/tree/main/.skills/dspy-basics
Command: npx skills add https://github.com/Qredence/skill-fleet --skill dspy-basics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

DSPy basics help newcomers learn foundational concepts for building structured, reusable AI workflows using DSPy signatures, modules, and composition patterns.

Core Features & Use Cases

  • Learn core concepts: Signatures, Basic Modules (Predict, ChainOfThought, ProgramOfThought), and program composition.
  • Explore templates and patterns to accelerate building DSPy programs and learning standard structures.
  • Real-world use cases include designing simple DSPy programs and composing modules for end-to-end tasks.

Quick Start

Install DSPy, review the templates, and build a simple signature and module using the provided examples.

Frequently Asked Questions about dspy-basics

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

FAQPage Schema
What are DSPy signatures and how do they work?▼

DSPy signatures define input and output fields that structure AI program interactions declaratively. They let you specify what a module should receive and produce without writing static prompt templates.

How do I build a basic DSPy module for program composition?▼

You build a DSPy module by defining a signature and passing it to Predict or ChainOfThought. These modules can then be composed together to form end-to-end programs for handling complex tasks.

What's the difference between Predict and ChainOfThought in DSPy?▼

Predict maps inputs directly to outputs using a signature, while ChainOfThought adds intermediate reasoning steps before producing output. ProgramOfThought extends this by structuring multi-step logical program execution.

Do I need any specific dependencies to start building DSPy programs?▼

You need the DSPy framework installed to build programs using signatures and modules. This Skill provides templates and examples for rapid construction without requiring additional external dependencies.

Can I use DSPy modules for structured learning and education contexts?▼

Yes, DSPy modules work across education and software development contexts. Learners and engineers can use templates to design simple programs and compose structured, reusable AI artifacts for end-to-end tasks.

When should I not use basic DSPy modules for AI workflows?▼

Basic DSPy modules like Predict and ChainOfThought are foundational and may lack advanced optimization features. If your workflow requires complex logic beyond standard templates, consider exploring more advanced composition patterns.

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