dspy-fleet-rlm

Implement and debug DSPy patterns within the fleet-rlm codebase.

2|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/Qredence/skills --skill dspy-fleet-rlm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dspy-fleet-rlm
Source: https://github.com/Qredence/skills/tree/main/skills/dspy-fleet-rlm
Command: npx skills add https://github.com/Qredence/skills --skill dspy-fleet-rlm

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Patterns, debugging techniques, and integration guidance for using DSPy within the qredence/fleet-rlm-dspy codebase.

Core Features & Use Cases

  • Patterns and best practices for building DSPy modules in the fleet-rlm codebase (signatures, modules, interpreter).
  • Debugging techniques and troubleshooting guidance for fleet-rlm DSPy deployments.
  • Clear integration conventions and examples to align DSPy usage with the fleet-rlm architecture and tooling.

Quick Start

Install the fleet-rlm DSPy skill and start the guided workflow to implement and debug DSPy patterns in the fleet-rlm codebase.

Frequently Asked Questions about dspy-fleet-rlm

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

FAQPage Schema
How do I implement DSPy patterns within a large Python codebase?

You can debug DSPy deployments using targeted troubleshooting techniques and pattern analysis. This Skill provides debugging guidance to identify and resolve issues across fleet-rlm modules, signatures, and tooling during pattern development and integration.

What are the integration conventions for DSPy signatures and modules?

Integrating DSPy with existing tooling requires following specific conventions to align with fleet-rlm architecture. The Skill provides clear integration examples and conventions to ensure DSPy modules, signatures, and interpreters work correctly with existing tools.

Do I need dspy installed to use these workflow patterns?

Yes, dspy is a required dependency for implementing these patterns. The Skill provides guidance on pattern development, debugging, and integration specifically tailored for the dspy framework within the fleet-rlm codebase.

Why is my DSPy module integration not working in fleet-rlm?

DSPy module integration failures often stem from misaligned signatures or architecture mismatches. This Skill provides debugging techniques and references to core files to troubleshoot and resolve integration errors across fleet-rlm modules and tooling.