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dspy-core

Consolidate DSPy guidance for signatures, modules, compilation, and testing.

2|Updated Feb 15, 2026
Search Tags:#testing#compilation#module#signature#dspy#program
One-click install
npx skills add https://github.com/Qredence/skills --skill dspy-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dspy-core
Source: https://github.com/Qredence/skills/tree/main/skills/dspy-core
Command: npx skills add https://github.com/Qredence/skills --skill dspy-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dspy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Core DSPy framework guidance helps teams quickly adopt structured signatures, modules, programs, and testing workflows without wiring ad-hoc tooling.

Core Features & Use Cases

  • Guidance for creating signatures, building modules, compiling programs, and running tests.
  • Example workflows for offline validation and educational purposes across fleet-rlm and core DSPy patterns.
  • Real-world scenario: A team uses DSPy core to scaffold a new module, validate type hints, and ensure deterministic compilation pipelines.

Quick Start

Install DSPy core in a virtual environment and run the packaged scripts to scaffold or validate your modules.

Frequently Asked Questions about dspy-core

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

FAQPage Schema
How do I create and validate DSPy signatures for modular programs?▼

To validate DSPy signatures, use the included test-signature script to check type hints and scaffold new modules. This enforces signature validation for developers assembling modular DSPy programs.

What is the best way to ensure deterministic compilation in DSPy programs?▼

Deterministic compilation in DSPy programs is achieved using the provided compile-dspy and clear-cache tools. These scripts enforce compilation discipline within an isolated uv venv environment.

Do I need a specific environment setup to build and test DSPy modules?▼

Yes, building and testing DSPy modules requires environment discipline using uv venv. You must install DSPy dependencies in a virtual environment before running the packaged validation scripts.

Can I use DSPy core for offline validation and testing workflows?▼

Yes, DSPy core applies to developers validating workflows in offline and testing environments. It provides example workflows for offline validation across core DSPy patterns.

Why does my DSPy compilation pipeline lack structure and fail validation?▼

DSPy compilation pipelines fail validation without structured signatures and modules. Use DSPy core to scaffold modules, validate type hints, and ensure deterministic compilation pipelines.

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