dspy-programs

Design DSPy signatures and compose runtime modules for Fleet-RLM task execution.

51|6|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/Qredence/fleet-rlm --skill dspy-programs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dspy-programs
Source: https://github.com/Qredence/fleet-rlm/tree/main/src/fleet_rlm/scaffold/skills/dspy-programs
Command: npx skills add https://github.com/Qredence/fleet-rlm --skill dspy-programs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The DSPy programs skill enables teams to define clear input/output contracts and assemble runtime modules for fleet-rlm tasks, accelerating development and ensuring consistent interfaces.

Core Features & Use Cases

  • Signature syntax design and validation for task inputs and outputs.
  • Built-in signature catalog access, routing decisions, and module composition guidance.
  • Workflow: register, configure, and instantiate DSPy signatures and modules for end-to-end execution.

Quick Start

Define a simple DSPy signature and wire a minimal module to validate the workflow.

Frequently Asked Questions about dspy-programs

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

FAQPage Schema
How do I design and validate DSPy signatures for task inputs and outputs?

Designing DSPy signatures involves defining clear input/output contracts for task inputs and outputs to ensure consistent interfaces. You can validate them by wiring a minimal module to verify the end-to-end workflow before full deployment.

What is a DSPy signature catalog and when do I need it for runtime modules?

A DSPy signature catalog provides built-in access to routing decisions and module composition guidance for fleet-rlm tasks. You need it when building per-turn routing and module registries to enable resilient task execution across development and production environments.

How do I register and instantiate DSPy runtime modules for end-to-end execution?

To register and instantiate DSPy runtime modules, you follow the workflow to configure and compose them with defined signatures. This enables end-to-end execution by assembling the modules into a resilient Fleet-RLM task pipeline.

Can I use DSPy modules for per-turn routing in production environments?

Yes, you can use DSPy modules for per-turn routing in production environments. The runtime modules are designed to enable flexible, resilient Fleet-RLM task execution across both development and production settings.

What is the best way to compose DSPy modules for Fleet-RLM task execution?

The best way to compose DSPy modules is by leveraging the built-in signature catalog for routing decisions and module composition guidance. This approach satisfies requirements for module integration and execution-mode decisions within the Fleet-RLM ecosystem.